{"id":2328155,"url":"https://alion.io/job/zeta-senior-data-reliability-engineer","title":"Senior Data Reliability Engineer","company":{"id":95345,"name":"Zeta","domain":"zeta.tech","url":"https://alion.io/company/zeta-tech","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Basking Ridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":118000,"max_usd":225000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Crossplane","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GDPR","optional":false},{"name":"Grafana","optional":false},{"name":"HIPAA","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-05-14T07:14:05Z","employer_posted_date":"2026-05-14","last_verified_at":"2026-10-12T22:18:45Z","board_verified":true,"closed_at":null,"days_open":151,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":151},"description":"About us:\nBuild the future of banking.\nZeta is a next-generation banking technology company providing cloud-native, fully stackable processing and core banking platforms for issuers. With a focus on scalability, compliance, and innovation, Zeta empowers financial institutions to modernize their technology infrastructure and deliver secure, seamless digital banking experiences.\nOur impact runs at real-world scale. Today, over 25 million cards are live on Zeta-powered platforms across 7 countries, supported by a passionate team of 1,700+ Zetanauts across India, the US, EMEA, and Asia. Backed bySoftBank Vision Fund, Mastercard, and other reputed strategic investors, we reached a valuation of $2 billion in 2025.\nOur focus is on establishing product lines that focus on key outcomes by addressing real customer pain points, modernizing legacy systems, and strengthening core fundamentals. As a result, our systems and platforms support a wide range of banking and payments capabilities, including:\n1.Tachyon, our cloud-native banking stack built for population-scale systems\n2. Cipher, our unified authentication platform for secure, high-volume banking environments\n3.Digital Credit as a Service, enabling banks to launch credit lines on UPI\n4. Elena, our intelligent and conversational AI platform for banking\n5.Pixel, India’s first digital-native credit card, launched in partnership with HDFC Bank, for whom we also revamped their PayZapp mobile app: Winner of the Celent Model Bank Award for Payments Innovation 2024\n6.Sparrow, the leading card experience for non-prime cardholders in the US\n…and more across cards, payments, lending, and core banking.\nWe are an engineering-first organization that values ownership, bias for action, and long-term thinking. Together, we solve some of the hardest problems in banking tech. Our culture is built around trust, collaboration, and creating the conditions for you to drive impact proportionate to your potential. Reinforcing our commitment to creating an inclusive and supportive workplace, we have been consistently recognized as a Great Place to Work.\nIf you want to build cutting-edge banking tech that enables banks to serve millions reliably, securely, and at a population scale, Zeta is your playground.\nIf you would like to learn more about how we have grown and evolved over the years, watch our journey here. You can also explore our website and follow us on LinkedIn,Instagram, YouTube, andX.\n\nAbout the Role:\nAs a Senior Data Reliability Engineer, you will be responsible for architecting, scaling, and optimizing enterprise-grade data platforms, including large-scale data lakes and data warehouses built from multiple disparate data sources. This role requires deep expertise in cloud databases, data infrastructure reliability, observability, and automation, with a strong focus on operational excellence, performance, and resilience.\nResponsibilities:\nOwn the reliability, availability, scalability, and performance of PostgreSQL RDS environments across production and non-production systems.\nLead proactive monitoring and observability initiatives for PostgreSQL RDS instances, leveraging tools such as CloudWatch, Prometheus, Grafana, and other enterprise monitoring platforms.\nDrive advanced PostgreSQL performance tuning, including query optimization, indexing strategies, parameter tuning, and capacity planning.\nArchitect and optimize database backup, disaster recovery, and failover strategies to ensure business continuity and minimal downtime.\nOwn the reliability and operational excellence of Debezium and Kafka Connect ecosystems, ensuring robust real-time data ingestion and delivery.\nLead troubleshooting and optimization of ETL workflows and data pipelines, ensuring scalability, reliability, and fault tolerance across data platforms.\nOversee Apache Airflow workflow orchestration, ensuring high reliability, SLA adherence, and operational efficiency of production DAGs.\nDesign and implement Infrastructure as Code (IaC) solutions using tools such as Terraform, Crossplane, and automation frameworks to streamline deployments and operational tasks.\nLead incident response, root cause analysis, and post-incident reviews for critical production issues.\nDefine and enforce database security standards, including access controls, encryption policies, compliance adherence, and periodic security audits.\nPartner closely with engineering, DevOps, and data platform teams to optimize data architecture and improve overall platform reliability.\nMentor junior engineers and drive best practices across database reliability engineering and cloud data operations.\nIdentify and lead continuous improvement initiatives focused on reliability, automation, scalability, and operational maturity.\nSkills:\nDeep expertise in PostgreSQL administration and performance tuning, preferably in AWS RDS environments.\nStrong experience with Debezium, Kafka Connect, ETL frameworks/tools, and enterprise-grade data pipeline architectures.\nStrong hands-on experience with Amazon Redshift, S3, and cloud-native data platforms.\nExpertise in Apache Airflow workflow orchestration and operational management.\nExperience with Apache Spark and large-scale distributed data processing.\nStrong scripting and automation experience using Python, Bash, or similar languages.\nStrong experience in Infrastructure as Code (IaC) using Terraform, Crossplane, or equivalent tools.\nHands-on experience with monitoring and observability tools such as CloudWatch, Prometheus, Grafana.\nStrong understanding of cloud database security, compliance, and governance frameworks (e.g., GDPR, HIPAA).\nExperience designing highly available, fault-tolerant, and scalable cloud database systems.\nExperience and Qualifications:\nBachelor’s degree in computer science, Information Technology, or a related field (master’s preferred).\n10-12 years of overall experience in database engineering, cloud data infrastructure, or reliability engineering.\nMinimum 5+ years of hands-on experience with PostgreSQL, including AWS RDS administration.\nStrong experience in cloud-native data platforms and enterprise-scale production environments.\nAWS Certified Database - 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