{"id":2772430,"url":"https://alion.io/job/ust-lead-i-kafka-support-engineer","title":"Lead I - Kafka Support Engineer","company":{"id":1774626,"name":"UST","domain":"ust.com","url":"https://alion.io/company/ust-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":80,"open_postings":138,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Support","role_family":"Support","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-20T04:38:35Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"Role: L3 Support Data Engineer (AWS, Kafka) Key Responsibilities\nAdvanced Troubleshooting & Incident Management: Provide Tier-3 (L3) operational support and deep-dive troubleshooting for real-time data pipelines, distributed systems, and production bottlenecks using Apache Kafka (MSK or Confluent) and AWS services.\nPipeline Development & Maintenance: Develop, maintain, and debug real-time data pipelines to ensure continuous, reliable data delivery.\nKafka Ecosystem Management: Configure, manage, and troubleshoot Kafka connectors, producers, consumers, brokers, topics, and schema registries to guarantee seamless data flow and integration across enterprise systems.\nETL/ELT Workflow Optimization: Support, design, and implement scalable ETL/ELT workflows capable of processing large volumes of data efficiently, resolving performance degradation issues.\nAWS Data Stack Optimization: Monitor, troubleshoot, and optimize data lake and data warehouse solutions leveraging AWS services including Lambda, S3, and Glue.\nObservability & Reliability: Implement and enhance robust monitoring, automated testing, and observability practices (metrics, logs, traces) to proactively identify platform vulnerabilities and ensure reliability.\nSecurity & Governance: Uphold stringent data security, governance, and compliance standards across all data operations and support workflows.\nCross-Functional Collaboration: Communicate technical findings clearly to both engineering peers and leadership during critical incident resolutions and post-mortems. Requirements & Qualifications\nExperience: Minimum of 5 years of experience in data engineering, software engineering, or high-tier technical support/SRE roles within distributed environments.\nCore Technical Expertise: Proven expertise with Apache Kafka and the modern AWS data stack (MSK, Glue, Lambda, S3, CloudWatch, etc.).\nProgramming Proficiency: Proficient in coding, debugging, and code review with Python, SQL, and Java (Java strongly preferred). 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