Striim, (pronounced “stream” with two i’s for integration and intelligence), is a unified data integration and streaming platform that connects clouds, data, and applications with unprecedented speed and simplicity to deliver the right data at the right time. Striim is used by enterprise companies to monitor events across any environment, build applications that drive digital transformation, and leverage true real-time analytics to provide a superior experience to their customers. At our company, we believe and expect all of our employees to operate as one with unlimited potential and dignity.
At Striim, we don't just move data; we move it as soon as it is born. Our platform handles GBs and TBs of data daily with sub-second latency. When an enterprise customer faces a technical bottleneck that prevents a "Go-Live," we don't just file a ticket—we deploy Ghost Ops.
We are looking for a Full-Stack Engineer to join this elite, high-visibility strike force. Your mission is simple: Identify the blocker, neutralize it, and ensure the data flows. You aren't building generic product features; you are performing surgical interventions on the front lines of real-time data integration.
The Role: "The Ghost Engineer"As a member of Ghost Ops, you sit at the intersection of Core Engineering and High-Stakes Delivery. You are the technical "closer."
Surgical Interventions: Dive deep into the existing mid-tier codebase to diagnose and repair bottlenecks or bugs stalling critical customer deployments.
Extensibility via "Open Processor": Partner with Field Engineers to write custom, high-performance code within Striim’s Open Processor framework, enabling bespoke data handling that transcends standard UI configurations.
Rapid Deployment: Thrive in "war room" environments, refactoring mid-tier logic or API interfaces on the fly to integrate seamlessly with unique enterprise ecosystems.
Technical "Bedside Manners": Maintain a calm, authoritative presence under pressure. You can explain a complex technical resolution to a customer stakeholder while simultaneously implementing the fix.
No Feature Bloat: Your focus is on surgical precision—removing friction and hardening the platform, not adding to the general product roadmap.
Data Movement Pedigree: Prior experience at a company building data movement, replication, or streaming platforms (CDI/ETL/ELT). You understand the stakes of Change Data Capture (CDC).
Full-Stack Mastery: You can navigate the entire stack—from React UI glitches to Java/backend API bottlenecks, down to complex SQL execution plans.
The "Open Processor" Mindset: Expert at writing custom logic to extend platform capabilities for specific, high-scale use cases.
Sub-Second Mentality: Deep understanding of high-concurrency, low-latency systems. You know how to move massive data volumes without breaking the latency budget.
Direct Action Bias: You prioritize a working fix today over a theoretical discussion tomorrow.
- Location: Role requires the candidate to be onsite at the Palo Alto HQ on a hybrid model (3X times a week)
While not a primary requirement, we have a high interest in candidates with deep knowledge of the Oracle ecosystem, specifically:
Complex Architectures: Familiarity with CDBs (Container Databases), PDBs (Pluggable Databases), and Oracle DataGuard.
Offloading Strategies: Experience using downstream Oracle instances to offload replication processing from primary databases.
SQL Optimization: Advanced ability to interface with Oracle APIs and navigate highly complex, enterprise-grade setups.
This is not a "back-office" engineering role. You are the elite force solving the hardest problems for the biggest companies in the world. When a multi-million dollar deal goes live, it will be because of your surgical precision. You make the friction disappear. You are Ghost Ops.
Benefits- Competitive salary and pre-IPO stock options
- Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
- Paid Time Off (Vacation, Sick & Public Holidays)
- The chance to contribute to and shape an upbeat, fully engaged culture
$165,000 - 175,000 USD on an annualized basis
Applications will be reviewed on a rolling basis and accepted until the position is filled.
Our company culture fosters entrepreneurship and nurtures our team members to grow with the company. Come join a Silicon Valley startup focused on delivering a product that’s loved by its customers and primed to be a core part of the cloud data stack.
We are an equal opportunity employer, and we value diversity at our company.It is in our best interest to continue to foster an environment of diversity, equity, and inclusion to bring the most value to our workforce, customers, and partners. All applicants are considered for employment without attention to race, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, veteran status, or disability status.
For more information on Striim's Privacy Policy, click here.
Skills Required
- Prior experience building data movement, replication, or streaming platforms
- Ability to navigate entire stack including React UI and Java backend
- Expertise in writing custom logic for platform capabilities
- Understanding of high-concurrency, low-latency systems
- Prioritizing a working fix over theoretical discussions
What We Do
The Striim platform is an end-to-end streaming data integration and operational intelligence solution enabling continuous query/processing and streaming analytics. With Striim, you can get to know your data – and sort out what’s important – the instant it’s born. Striim specializes in integration from a wide variety of data sources – transaction/change data, events, log files, application and IoT sensor data – and real-time correlation across multiple streams. Add structure, logic and rules to streaming data. Define time windows for analysis. Detect outliers, visualize events of interest, and trigger alerts and automated workflows – all within milliseconds. Striim is the only non-intrusive, enterprise-strength offering that combines streaming integration and intelligence in a single platform. Streaming data can be enriched with reference/historical data for instant context, at-speed and at-scale. And the entire solution can be built using a SQL-like language. Respond faster to your customers, make better decisions, and grow your business with Striim.
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