Senior Site Reliability Developer
Role Overview
This role provide support to core data platforms behind Oracle Health’s Data & Analytics Platform.
As a Senior Site Reliability Engineer (SRE), you will own shared, mission-critical systems used by multiple products and teams.
You will work on the design and operation of large-scale, stateful distributed platforms, including Hadoop ecosystem components (HDFS, YARN, HBase) deployed on Oracle Big Data Service (BDS), Kafka, and Storm.
These multi-tenant platforms are deployed and operated through Ansible- and Terraform-based automation and require strong architectural ownership to manage scale, change, and broad blast radius.
Key Skills for This Role
Full Job Posting
Qualifications
- Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $79,100 to $158,200 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
- Career Level - IC3
- 4+ years operating large-scale, customer-facing distributed platforms
- Deep experience with HDFS, YARN, HBase, Kafka, Storm, or similar systems
- Strong background in Linux, networking, and distributed system troubleshooting
- Infrastructure-as-Code using Ansible and Terraform
- Scripting and automation using Python, Ruby, and Bash
- Hands-on experience operating Kerberized environments
- Proven ability to define and document technical architecture for complex systems
- Demonstrated ownership of shared platforms with broad blast radius and multiple downstream consumers
- Experience designing observability and capacity models for distributed platforms
- U.S. Citizenship and eligibility for a Federal Security Clearance
- 5+ years of technical experience relevant to this position
- Ability to communicate effectively and build rapport with team members
- BS or MS in Computer Science, or equivalent
Responsibilities
- The team operates within the Oracle Health Data & Analytics Platform, supporting one of Oracle Health’s core products, HealtheIntent. We operate the big data and streaming infrastructure that enables downstream teams to deliver reliable customer-facing solutions at scale, while continuously improving operability and efficiency.
- Own the end-to-end reliability, scalability, and operability of shared data platforms
- Define platform standards, architectural direction, and operational guardrails
- Influence cross-team technical decisions and long-term platform strategy
- Drive long-term platform evolution and influence reliability strategy across the data ecosystem
- Clearly articulate system behavior, dependencies, and failure modes
- Make principled trade-offs between reliability, performance, cost, and complexity
- Provide guidance and guardrails that enable downstream teams to use platforms safely and effectively
- Establish capacity models, scaling strategies, and operational best practices
- Design platforms that behave predictably under load, failure, and change
- Own platform lifecycle events: upgrades, expansions, decommissioning, and recovery
- Operate and evolve stateful distributed systems where data placement, replication, and recovery are critical
- Reason about failure modes such as backpressure, rebalancing, region movement, replication lag, and rolling upgrades
- Operate and maintain Kerberized platforms, including authentication, authorization, and secure service-to-service communication
- Treat security as a first-class architectural concern
- Design and evolve an Ansible- and Terraform-driven automation framework
- Treat automation as production software: versioned, reviewed, tested, and improved
- Eliminate operational toil by encoding reliability and safety into the platform
- Serve as the ultimate escalation point for complex or ambiguous incidents
- Focus on eliminating entire classes of failure, not just resolving individual issues
- Represent SRE and platform engineering in high-visibility and sensitive forums
- Communicate clearly with engineering leadership and partner teams
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