{"id":661974,"url":"https://alion.io/job/acceldata-staff-engineer-full-stack-","title":"Staff Engineer ( Full Stack )","company":{"id":4497,"name":"Acceldata","domain":"acceldata.io","url":"https://alion.io/company/acceldata","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":73,"open_postings":39,"ghost_share":0.359,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":117,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":100000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Spark","optional":false},{"name":"Spring Boot","optional":false},{"name":"Hadoop","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2024-11-15T10:35:47Z","employer_posted_date":"2024-11-15","last_verified_at":"2026-11-14T22:44:45Z","board_verified":true,"closed_at":null,"days_open":729,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":728},"description":"As a Staff Full Stack Engineer\nYou’ll be responsible for architecting, building and scaling the core features and capabilities of our Kubernetes-native Data product. You’ll also work closely with the frontend and product teams to create a reliable and scalable platform.\nA day in the life of Staff Full Stack Engineer\nArchitect, design, and build scalable distributed systems using Java.\nLead system design and architecture decisions across services, APIs, and data layers.\nBuild and optimize high-throughput, low-latency microservices.\nDesign and implement event-driven architectures using Apache Kafka.\nDevelop and optimize data processing pipelines leveraging Apache Spark (or similar technologies).\nEnsure system reliability through:\n-Fault tolerance, retries, circuit breakers\n-Observability (logging, metrics, tracing)\nOptimize performance across:\n-CPU, memory, I/O, and database queries\nDrive code quality, design reviews, and engineering best practices\nMentor engineers and provide technical leadership across teams\nYou are a great fit for this role if you have\n10+ years of experience in software engineering with strong backend focus\nDeep expertise in Java and backend frameworks like Spring Boot\nStrong experience in:\n-Distributed systems design\n-Microservices architecture\n-Concurrency and asynchronous processing\nHands-on experience with:\n-Apache Spark\n-PostgreSQL / MySQL\n-Caching systems like Redis\nExperience with cloud-native architectures on platforms like Amazon Web Services\nStrong understanding of API design, scalability, and performance optimization\nExperience in frontend technologies (JavaScript, React)\nStrong debugging, problem-solving, and system design skills\nBonus Points for\n- Experience in Kubernetes\n- Experience in Big Data Systems or Hadoop 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