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Lead Power Systems Electrical Engineer
Eaton Corporation
Raleigh, NC
- $97,000 to $143,000 USD / year
Eaton’s Critical Power Solutions division is currently seeking a Lead Electrical Engineer to join our Datacenter Systems (DCS) team. This is a hybrid (3 days in-office, 2 days remote) work…
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Platform Infrastructure Engineer
Maximus
Raleigh, NC
Maximus is seeking a highly skilled individual to join our team as a Platform Infrastructure Engineer. You will be responsible for the deployment and maintenance of several platforms…
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Sr Site Reliability Engineer -Remote US
SitusAMC
Raleigh, NC
Work closely with Development, Business, and Platform teams and being the point for products and underlying infrastructure of the products running in AWS Cloud
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Hardware Engineer, PCB Layout
Meta
Raleigh, NC
Meta is seeking a Staff PCB Layout Engineer to drive the design and delivery of complex printed circuit boards for large-scale infrastructure hardware. In this role, you will define layout…
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Senior Planner
Bristol Alliance of Companies
Norfolk, VA
The Senior Planner position is responsible for preparing plans & studies for the NAVFAC that addresses infrastructure investment requirements and strategies on the regional scale.
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MECHANICAL ENGINEER SR.
Bristol Alliance of Companies
Philadelphia, PA
Bristol Infrastructure Design Services, LLC is hiring a Senior Mechanical Engineer to support the Department of the Navy.
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Network and Systems Engineer III – IT Solutions Implementor
Amentum
Raleigh, NC
Amentum seeks a Network and Systems Engineer III – IT Solutions Implementor to provide IT solutions and support (remotely), for Amentum programs and projects worldwide. This is a…
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Sr. Civil Structural Engineer
Siemens Energy
Raleigh, NC
Join Siemens Energy as a Civil Structural Engineer and support Engineering, Procurement, and Construction (EPC) projects across the U.S. You will prepare and deliver civil and structural…
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Supply Chain Capacity Engineer
Meta
Raleigh, NC
Meta is seeking a Planning & Capacity Engineer to join the Infrastructure Supply Chain and Engineering (ISCE) Planning team to focus on planning optimization for all of Meta’s…
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Senior Lead Engineer - Design and Architecture
Altera Corporation
San Jose, CA
Altera is seeking a Senior Lead Engineer, Design and Architecture to provide technical leadership for the architecture and development of high-performance silicon and platform subsystems…
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Cardiology Application Support Engineer
NTT DATA Services
Frisco, TX
We are currently seeking a Cardiology Application Support Engineer to join our team in Frisco, Texas (US-TX), United States (US).
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Database Engineer (Oracle)
NTT DATA Services
Jacksonville, FL
We are currently seeking a Database Engineer (Oracle) to join our team in Jacksonville, Florida (US-FL), United States (US).
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Web Hosting Security Engineer(Hybrid)
NTT DATA Services
Jacksonville, FL
We are currently seeking a Web Hosting Security Engineer(Hybrid) to join our team in Jacksonville, Florida (US-FL), United States (US).
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Sr. Mac Administrator
Insight Global
Charlotte, NC
"This is a highly technical Mac infrastructure role supporting Bank of America's Apple build server environment. The team uses Workspace ONE for patching, compliance, and software…
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Ansible Engineer
Insight Global
Charlotte, NC
7+ years of experience as a System/Automation/Infrastructure/Platform Engineer
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Senior Financial Planning & Analysis Manager
Cornerstone OnDemand
Charlotte, NC
…our SaaS products - from R&D investment and cloud/data center infrastructure to consumption-based AI costs and product-level margins - ensuring tight timelines, high-quality reporting, and…
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Front Office Automation Tester
NTT America, Inc.
Charlotte, NC
- $90,000 to $115,000 USD / year
We are seeking a Senior QA Automation Engineer to support Front Office Sales & Trading technology platforms. This role is responsible for designing, developing, and executing automated…
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Sr DevOps Engineer
Insight Global
Charlotte, NC
Insight Global is seeking a Sr DevOps Engineer for a large financial services client. This individual will be an experienced hands-on DevOps Engineer with more than seven years of…
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Lead Information Security Engineer
Wells Fargo
CHARLOTTE, NC
Wells Fargo is seeking a motivated Lead Information security engineer to join an exciting, fast paced team working on cutting edge next generation firewall and security management…
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Principal Full Stack Engineer
Eliassen Group
Durham, NC
- $70 to $85 USD / hour
Our client seeks a Principal Full Stack Engineer to support critical digital business platforms across a broad application portfolio. The role combines hands-on Java development,…
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Highway/Roadway Project Engineer
HDR
Salt Lake City, UT
…freight rail, aviation, federal transportation ports and marine infrastructure, your work will directly support economic vitality, public safety, sustainable and resilient communities and…
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DevSecOps Engineer
NT Concepts
Chantilly, VA · Vienna, VA
The Mid-Level DevSecOps Engineer is responsible for contributing to the design, building, and automation of secure solutions for application deployment and operational support across…
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Applied AI Engineer
CCI Systems, Inc.
Janesville, WI · St. Louis, MO · Ashland, OH · San Marcos, TX · Waco, TX · Fredericksburg, VA · Springfield, OH · New Richmond, WI · Wausaukee, WI · Cheboygan, MI · Manistique, MI · Galveston, TX · Corpus Christi, TX · Marshfield, WI · Hollywood, FL · Pembroke Pines, FL · Fort Lauderdale, FL · Richmond, KY · Alexandria, VA · Arlington, VA · Canton, OH · Waukesha, WI · Dearborn, MI · Flint, MI · Warren, MI · Ypsilanti, MI · Ann Arbor, MI · Saginaw, MI · Lubbock, TX · Orlando, FL · Gainesville, FL · Jefferson City, MO · Eagle River, WI · Merrill, WI · Crandon, WI · Gatlinburg, TN · Newport News, VA · Norfolk, VA · Virginia Beach, VA · Racine, WI · Kenosha, WI · Dayton, OH · Toledo, OH · Evansville, IN · Gary, IN · Wisconsin Rapids, WI · Platteville, WI · Sheboygan, WI · Manitowoc, WI · Columbus, GA · Albany, GA · Savannah, GA · Fort Myers, FL · Jacksonville, FL · Tallahassee, FL · Menasha, WI · Ashwaubenon, WI · De Pere, WI · Little Chute, WI · Kaukauna, WI · Neenah, WI · Oshkosh, WI · Cincinnati, OH · Cleveland, OH · La Crosse, WI · Wisconsin Dells, WI · Ironwood, MI · Sault Ste. Marie, MI · Des Moines, IA · Edmond, OK · Norman, OK · Lexington, KY · Louisville, KY · Knoxville, TN · El Paso, TX · Fort Worth, TX · San Antonio, TX · Oconto, WI · Rhinelander, WI · Menominee, MI · Marinette, WI · Lynchburg, VA · Traverse City, MI · Kalamazoo, MI · Big Rapids, MI · Lansing, MI · Gaylord, MI · Independence, MO · Columbia, MO · Springfield, MO · Negaunee, MI · Ishpeming, MI · Escanaba, MI · Shawano, WI · Coleman, WI · Abrams, WI · Houghton, MI · Marquette, MI · Columbus, OH · Irving, TX · Livonia, MI · Wausau, WI · Iron Mountain, MI · Oklahoma City, OK · Tulsa, OK · Houston, TX · Atlanta, GA · Tampa, FL · Miami, FL · Austin, TX · Kansas City, MO · Nashville, TN · Green Bay, WI · Dallas, TX · Three Lakes, WI · Milwaukee, WI · Richmond, VA · Stevens Point, WI · Fond du Lac, WI · Eau Claire, WI · Detroit, MI · Crivitz, WI · Grand Rapids, MI · Roanoke, VA · Madison, WI · Appleton, WI · Charlottesville, VA
We are seeking an Applied AI Engineer who will be responsible for designing, developing, testing, and supporting AI-enabled solutions that improve business processes and deliver measurable…
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Project Manager - OGC
Insight Global
Kansas City, MO
- $200,000 to $250,000 USD / year
10+ years of experience as an Engineer OR Design Engineer OR Field Engineer OR Project Engineer
Added 4 mins ago
IG
Senior Test Engineer/ Test Lead
Insight Global
Bothell, WA
- From $40 USD / hour
We are seeking a Senior Test Engineer to lead testing efforts for the implementation of a third-party asset management solution supporting NERC-regulated assets, including substations and…

TinyFish

US & HCMC - Senior Software Engineer, Data Infrastructure

Palo Alto, CA, United States

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Job details

Posting language: English

Original job description

About TinyFish TinyFish builds browser-based AI agents that do real work on the open web for enterprise customers. We're a small, technical team shipping fast against serious enterprise buyers, and they ask serious questions about where their data goes. About the Role We're looking for a Senior Software Engineer, Data Infrastructure, to own how data is stored, traced, governed, and accounted for across TinyFish. The goal is to make the answers to "where is this data, what did it cost, and is it handled the way we promised?" fast, consistent, and provable. This is not a pipeline-maintenance or data-request role. You'll build the infrastructure that our product services, pipelines, and analytics sit on:

storage standards and the paved road for using them;
lineage and tracing across services and clouds;
data lifecycle controls such as retention, deletion, export, and legal hold;
enforcement of customer data commitments;
cost attribution;
shared definitions that keep our analyses consistent.

A single customer request at TinyFish fans out across multiple services, LLM providers, cloud platforms, and browser workloads. Along the way it produces logs, traces, screenshots, HTML, usage events, and results. Those land in operational databases, blob storage, S3/Iceberg, Databricks, and product analytics. We can answer most questions about that data today, but too often it takes an engineer digging through logs, code, and dashboards, and different systems give slightly different answers. You'll make those answers fast, self-serve, and consistent, for engineers and for the sales, support, security, legal, and finance teams who need them. You'll own problems end to end: finding the paths nobody has documented, designing the system, implementing it, and making sure it stays correct as engineers add new services, tables, and stores. We care more about your engineering judgment and the coverage you can prove than about any particular tool. Why this role, why now We already handle commitments like "don't train on my data," zero data retention (ZDR), and GDPR deletion and export requests, and we can attribute AI and infrastructure costs to the tenants and features that caused them. Today, though, much of that depends on careful per-service engineering and manual investigation. At the same time, some of our operational stores are growing faster than they should, because there isn't yet a clear standard for where different kinds of data belong. Our internal analyses also rely on hand-written filters that aren't consistent from one system to the next. All of these costs grow with every new service, data store, and enterprise contract. These problems share a foundation: identity, policy, and lineage that travel with the data, clear standards for where data lives, and shared definitions everyone uses. You'll turn what we do carefully today into infrastructure that does it by default. Then the answers can reach the people who need them without an engineer in the loop: sales responding to a security review or contract requirement, support handling a customer data request, finance asking what a feature costs. Example projects

Data lifecycle and data subject rights: retention and deletion that propagate to every copy of the data, including derived tables, caches, snapshots, and third parties. "Download my data" exports that are complete and repeatable. GDPR requests handled by the system rather than by an engineer.
Legal hold: the ability to put constraints on data that must not be deleted, and have deletion and retention respect them everywhere.
Customer data commitments: move "don't train on my data" and ZDR from careful per-service work to platform defaults that cover every path a request can take, including async queues, retries, error paths, and direct internal calls.
Storage standards and paved road: official guidelines for where each kind of data belongs (hot operational stores, large blobs, cold S3/Iceberg, Databricks for large analytics and historical analysis), with retention, partitioning, and cost defaults. Delivered as reusable Terraform modules and libraries so the right choice is the easy one. Includes migrating fast-growing operational tables to the right tier.
Cost lineage: automatic attribution of cost across clouds and providers to the originating tenant and feature. A request that goes A → B → C should reconcile with a direct call to C and with each provider's bill.
Codified cohorts and filters: a single, versioned definition of segments such as internal users, test accounts, employees, and enterprise customers, used consistently across product analytics, Databricks, and our other data systems in place of ad hoc user-ID lists and email regexes.
Self-serve enablement: give sales, support, legal, and finance direct access to provable answers, such as what we can commit to in an enterprise contract, the status of a customer's deletion or export request, or cost by tenant, without pulling in an engineer.

What You'll Do

Map how data actually flows through our services, clouds, and analytics systems, and where it lands, including the paths that aren't on any diagram.
Design and build propagation of identity, data policy, and lineage (tenant, policy flags, root request ID) across sync calls, queues, internal jobs, and data pipelines.
Enforce data policies, retention, deletion, and legal holds at the points where data is written and stored, so that missing context fails safe.
Build cost attribution and lineage systems that product, finance, and leadership can rely on.
Write and evolve data handling and storage guidelines, then turn them into Terraform modules, libraries, schema conventions, defaults, and CI checks so engineers rarely need to read them.
Build guardrails so new tables, services, and data stores are automatically brought under policy, or at least automatically flagged, instead of depending on someone remembering.
Define shared cohorts and data definitions, and make them the default across our analytics and data systems.
Monitor for drift and coverage gaps, and drive fixes to the root cause rather than one-off patches.
Partner with security, legal, and customer-facing teams to translate data commitments and contract terms into engineering requirements.
Treat sales, support, legal, security, and finance as customers of your systems. Build the reports, tools, and evidence they need to answer data questions themselves.
Participate in incident response for data-handling issues, and drive the systemic corrective actions that follow.

What success looks like

30 days. You've mapped where customer data and cost flow across our core services and data systems, including the undocumented paths. You know which parts of our data lifecycle, commitment, and attribution coverage are automated and which depend on manual work. You know which questions from sales, support, legal, and finance cost the most engineering time to answer.
60 days. Storage guidelines v1 are published, with a paved road for the most common cases, and the fastest-growing operational tables have a plan. Propagated request context runs across our core services. A first cost attribution view by tenant and feature exists, and the team uses it. Core cohorts, such as internal and test users, have one shared definition.
90 days and beyond.
ZDR, no-train, and retention are enforced where data lands, with automated checks that catch new tables and stores that aren't covered.
New services and data stores come under policy by default.
Deletion, export, and no-train requests run through the system, respect legal holds, and can be proven end to end.
Lineage can answer "where is tenant X's data?"
Cost attribution reconciles with provider bills across clouds, and finance gets cost by tenant and feature without asking engineering.
Sales can see what we can commit to in a contract, and support answers customer data requests from the system.
Internal analyses use shared cohorts everywhere.

What We're Looking For

Significant experience designing and building production data infrastructure that other engineers build on: storage architecture, tracing or lineage, data access layers, or data platform tooling.
Strong systems thinking. You can follow data across application code, service boundaries, queues, storage systems, clouds, and analytics platforms.
Experience implementing data lifecycle and data-handling requirements, such as retention, deletion, data export, legal hold, consent or opt-out flags, GDPR/CCPA, or zero data retention. You've also made that coverage hold up as the system grew.
A track record of building controls and standards other teams actually adopt: defaults, libraries, infrastructure modules, schemas, and automated checks rather than wiki pages.
Sound judgment across correctness, cost, latency, and delivery speed.
Strong software engineering skills, and production experience with infrastructure as code.
Working knowledge of the storage landscape (relational stores, object storage, table formats like Iceberg or Delta, warehouses or lakehouses) and when each is the right fit.
Experience using AI coding tools effectively, along with the judgment to verify and own what they produce.
Clear communication, including explaining data commitments and tradeoffs to engineers, legal, and customers.
An enablement mindset: you measure success partly by how well other teams, technical and non-technical, can get answers without you.

Nice to Have

Experience with distributed tracing and context propagation (e.g. OpenTelemetry).
Experience with lineage or catalog systems (e.g. OpenLineage, Unity Catalog, DataHub).
Experience with Databricks, Spark, or Iceberg at scale, including deletes, compaction, and snapshot management.
Experience with cost attribution, chargeback, or FinOps for cloud or LLM spend, especially across multiple clouds or providers.
Experience with product analytics platforms (e.g. PostHog, Amplitude) and keeping metric and cohort definitions consistent across systems.
Background in privacy engineering, or experience with SOC 2, ISO 27001, or customer data-handling audits.
Experience with AI/ML data handling: training-data preparation, LLM provider data policies, or eval datasets.
AWS experience, including Terraform and multi-account environments. What We Offer
Broad ownership over how data is stored, governed, and accounted for across TinyFish.
Close collaboration with the engineers building our products, and with security, legal, sales, support, and finance.
Hard problems at the intersection of AI, browser automation, and distributed systems.
A culture that values engineering judgment, simplicity, security, and ownership.
A remote, flexible, and async-friendly working environment.
Competitive compensation.

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More about this job

Skills

Direct inward dialing
HTML
Operational databases
Databricks
Sales
IBM Terraform
Leadership
Incident response
Systems thinking
Wiki
Infrastructure as code
Communication skills
Unity
Apache Spark
ML
AWS

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