{"id":661969,"url":"https://alion.io/job/acceldata-staff-engineer-open-source-committer-and-contributor-odp","title":"Staff Engineer - Open Source Committer and Contributor | (ODP)","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":null,"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":42000,"max_usd":103000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2024-12-04T12:53:40Z","employer_posted_date":"2024-12-04","last_verified_at":"2026-11-14T22:44:45Z","board_verified":true,"closed_at":null,"days_open":710,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":709},"description":"At Acceldata, We are revolutionizing data observability in how enterprises manage and observe data by offering comprehensive solutions tailored to each organization's unique needs. Our platform integrates various technologies, enabling seamless data observability for modern enterprises.\nAbout the Role: We are looking for a Staff Engineer (Apache Open Source Committer andContributors ) to lead the development of a data platform built on Apache open-source technologies. In this role, you will design, implement, and optimize distributed data systems while actively contributing to the open-source community. You will work with cross-functional teams to address technical challenges, ensure system scalability, and improve performance. As an Apache committer, you will drive the technical direction of the project, submit patches, and review contributions to enhance functionality, security, and reliability.\nThis role offers the opportunity to build cutting-edge data solutions, influence the open-source ecosystem, and collaborate with industry experts. Your contributions will have a lasting impact on both the data platform and the broader open-source community.\nYou are a great fit for this role if you have\nEnthusiasm for the open-source projects, with a focus on improving the ecosystem, driving innovation, and contributing back to the community.\nExtensive hands-on experience in configuring storage and related components, troubleshooting complex software defects, including reproducing issues from written descriptions, using effective techniques to identify root causes, navigating large codebases, and developing both temporary workarounds and permanent solutions.\nAbility to communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.\nStrong coding, debugging, and troubleshooting skills to resolve issues, enhance software applications, and ensure smooth deployment without introducing new problems.\nExpertise in guiding teams to implement systems and subsystems effectively, translating business requirements into actionable designs.\nAbility to quickly learn new technologies\nWhat we look for:\n9+ years of experience in software engineering, with at least 4-5 years actively contributing to open-source projects, ideally within the Apache ecosystem.\nLead technical discussions within the community, define architecture improvements, and ensure code quality through reviews and mentorship.\nDeep knowledge of one or more Apache projects (e.g., Hadoop, Kafka, Spark, Hive, Flink) and their underlying architecture.\nProficiency in programming languages such as Java, Python, Scala, or Go is preferred. 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