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Full Time Influxdb Jobs (NOW HIRING)

GeneFab

Senior Manufacturing Engineer

Alameda, CA

$103K - $141K/yr

This position is offered as a contract engagement with eligibility for conversion to full-time ... Establish a process data historian (e.g., AVEVA PI, InfluxDB) to capture and store time-series ...

GeneFab

Senior Manufacturing Engineer

Alameda, CA · On-site

$103K - $141K/yr

This position is offered as a contract engagement with eligibility for conversion to full-time ... Establish a process data historian (e.g., AVEVA PI, InfluxDB) to capture and store time-series ...

GeneFab

Senior Manufacturing Engineer

Alameda, CA · On-site

$103K - $141K/yr

This position is offered as a contract engagement with eligibility for conversion to full-time ... Establish a process data historian (e.g., AVEVA PI, InfluxDB) to capture and store time-series ...

NinjaOne

Staff Performance Software Engineer

Baltimore, MD · On-site +1

$200K - $300K/yr

... InfluxDB. * Documentation- Develop and maintain technical documentation, architectural decision ... We honor your flexibility needs with full-time work that is hybrid remote. We have you covered with ...

Blackhawk Network

Sr. Software Engineer

Coppell, TX

$113K - $150K/yr

Experience with real-time systems, metrics collection, and time-series databases (e.g., InfluxDB ... for all full-time employees. Blackhawk Network provides equal employment opportunities to all ...

Apptronik

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

Familiarity with time-series data stores such as InfluxDB or TimescaleDB for telemetry-heavy ... Minimum of 3 years of professional, full-time experience in data engineering, backend engineering ...

AtmosZero

Controls Engineer

Loveland, CO · On-site

$85K - $111K/yr

... InfluxDB and PostgreSQL. * Safety & Compliance: Understanding of applicable standards for high ... S. * Onsite full time in Loveland, CO (5 days/week) * Willingness to travel up to 25% for ...

NinjaOne

Staff Performance Software Engineer

NC · On-site +1

$200K - $300K/yr

... InfluxDB. * Documentation- Develop and maintain technical documentation, architectural decision ... We honor your flexibility needs with full-time work that is hybrid remote. We have you covered with ...

NinjaOne

Staff Performance Software Engineer

Kansas, KS · On-site +1

... Grafana, and InfluxDB. * Documentation - Develop and maintain technical documentation ... We honor your flexibility needs with full-time work that is hybrid remote. We have you covered with ...

Pipeline Intelligence Group, LP

Be Seen First

Senior OT Systems Integration Engineer

Duluth, GA · On-site

$120K - $160K/yr

... | Full-Time IMPORTANT: This role requires hands-on OPC-UA and SCADA experience. IT networking ... Exposure to AI/ML inference at the edge, MQTT, or time-series data platforms (InfluxDB, OSIsoft PI)

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Full Time Influxdb information

What are some common challenges faced by professionals working full-time with InfluxDB, and how can they be addressed?

Professionals working full-time with InfluxDB often encounter challenges related to managing high-volume time series data, ensuring optimal query performance, and maintaining data retention policies. Handling large-scale write and read loads can require careful schema design and tuning of InfluxDB’s configuration settings. Collaborating closely with DevOps and application teams is essential to optimize data pipelines and automate backup processes. Staying updated with InfluxDB releases and best practices helps in proactively addressing scaling and security issues.

What are the key skills and qualifications needed to thrive as a Full Time InfluxDB Developer, and why are they important?

To thrive as a Full Time InfluxDB Developer, you need strong skills in database management, time-series data modeling, and proficiency with InfluxDB, often backed by a degree in computer science or a related field. Experience with query languages (Flux, InfluxQL), relevant certifications, and knowledge of supporting tools like Grafana and Docker are typically required. Analytical thinking, problem-solving abilities, and effective communication are important soft skills in this role. These competencies are vital to ensure optimal data storage, efficient querying, and successful collaboration with cross-functional teams managing time-series data.

What is the difference between Full Time Influxdb vs Data Engineer?

AspectFull Time InfluxdbData Engineer
Required CredentialsKnowledge of InfluxDB, database management, scripting skillsDegree in Computer Science or related, experience with databases and ETL processes
Work EnvironmentFocus on database setup, monitoring, and optimizationDesigning data pipelines, integrating various data sources
Industry UsagePrimarily in IoT, monitoring, time-series data applicationsAcross finance, tech, healthcare, and more

Full Time Influxdb roles focus on managing and optimizing InfluxDB databases, often within IoT or monitoring environments. Data Engineers design and build data pipelines across various platforms. While both roles involve data handling, Influxdb specialists concentrate on time-series data within specific tools, whereas Data Engineers have broader responsibilities across multiple systems.

What are Full Time InfluxDB jobs?

Full Time InfluxDB jobs refer to positions where professionals work full-time with InfluxDB, a popular open-source time series database. These roles typically involve designing, deploying, maintaining, and optimizing InfluxDB databases to collect and analyze time-stamped data, such as metrics and events. Professionals in these positions are often responsible for data modeling, writing queries, monitoring database performance, and ensuring data integrity. Candidates are usually expected to have experience with InfluxDB, related technologies, and knowledge of time series data management. Such roles are common in industries that rely on real-time analytics, monitoring, and IoT data processing.
Infographic showing various Full Time Influxdb job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Senior Manufacturing Engineer

GeneFab

Alameda, CA

$103K - $141K/yr

Full-time

Posted 12 days ago

Job description

GeneFab is seeking a Senior Manufacturing Engineer to lead the identification, implementation, and management of production technology and digital infrastructure across our GMP manufacturing operations. This role will serve as the primary driver of GeneFab's deployment of innovative technologies (internally developed and integration of external) and it's transition to digital systems (including electronic batch records, process data historians),equipment data integration, and lifecycle management.

The Senior Manufacturing Engineer will act as system owner for critical and specialized manufacturing equipment and computerized systems, owning the lifecycle of critical equipment and systems, from acquisition to offboarding. This role will also support commercial readiness activities, contributing to continued process verification infrastructure and regulatory inspection preparedness as GeneFab advances through later-stage clinical and commercial readiness.

This is a high-visibility, high-impact individual contributor role. The ideal candidate combines deep GMP manufacturing knowledge with hands-on experience implementing equipment and digital systems in a regulated environment, and thrives in a fast-paced, entrepreneurial setting where they will build and integrate capabilities from the ground up.

This position is offered as a contract engagement with eligibility for conversion to full-time employment based on performance, business needs, and mutual alignment. GeneFab is committed to investing in high-performing contributors and views this role as a long-term addition to the organization.

Responsibilities:
  • Lead and support design, evaluation, selection and implementation of production technologies and equipment that support highly efficient production of Cell and Gene Therapies.  This includes novel unit operations and process interface equipment, robotics, physical and digital AI, and other related technologies.
  • Lead the evaluation, selection, and implementation of an electronic systems such as batch record (EBR) platform to replace paper batch records across all manufacturing processes.
  • Establish a process data historian (e.g., AVEVA PI, InfluxDB) to capture and store time-series process and environmental data from manufacturing equipment and cleanroom monitoring systems.
  • Develop and execute the equipment data integration strategy, establishing connectivity between GMP instruments (e.g., Miltenyi Prodigy, Cytiva Xuri/XDR/AKTA, Fresenius Kabi Lovo, Sepax, Vi-CELL BLU, NucleoCounter, CryoMed controlled-rate freezers, etc...) and centralized data systems.
  • Responsible for equipment and systems end to end; from URS, basis of design/risk assessment, detailed design, implementation, commissioning and qualification.   
  • Evaluate and deploy integration solutions including OPC-UA connections, data bridge PCs, network file shares, and middleware platforms (e.g., Scitara, Tetra Science) based on instrument connectivity capabilities.
  • Ensure all implemented systems comply with 21 CFR Part 11, ALCOA+ data integrity principles, and applicable GAMP 5 guidelines.
  • Act as system owner for critical and specialized manufacturing equipment from a data and systems perspective, ensuring equipment data outputs are captured, backed up, and accessible for process monitoring and regulatory purposes.
  • Own periodic review cadence, audit trail reviews, user access management, and health monitoring system.
  • Manage equipment lifecycle from a systems perspective: lead new equipment implementation and commissioning of data connectivity, oversee system retirement and data archival. Physical maintenance, calibration, and qualification remain with Facilities, Validation, and/or Metrology.
  • Own the relationship with digital system and integration middleware vendors, managing contracts, upgrades, issue resolution, and roadmap alignment.
  • Develop and maintain system-level documentation including user requirements specifications, system configuration documents, and periodic review reports.
  • Build the data infrastructure that enables continued process verification (CPV), ensuring process parameters, quality attributes, and environmental data are consolidated and accessible for statistical trending.
  • Partner with MSAT to define data extraction and aggregation workflows from EBR, LIMS, and historian systems to support CPV analysis and reporting.
  • Design and implement dashboards and automated reporting tools for real-time manufacturing performance visibility.
  • Ensure comprehensive data backup coverage across all instruments, (including those not natively connected to network backup systems such as UniTrends)
  • Support commercial readiness activities by ensuring digital systems and data infrastructure are in place to support process validation lifecycle stages, including Stage 3 (continued process verification).
  • Contribute to regulatory inspection readiness by maintaining inspection-ready system documentation, audit trails, and access control records.
Qualifications
  • Bachelor's degree in Engineering (Biomedical, Chemical, Electrical, Mechanical)  , or related field required; advanced degree (M.S. or Ph.D.) preferred.
  • Minimum 8+ years of progressive experience in pharmaceutical, biopharmaceutical, or cell/gene therapy manufacturing environments.
  • 3+ years of direct experience implementing or managing production technology and digital manufacturing systems such as EBR, LIMS, MES, data historians, or SCADA in a GMP-regulated setting.
  • Strong understanding of 21 CFR Part 11, ALCOA+ data integrity principles, GAMP 5 computer system validation, and GMP regulatory expectations for electronic records.
  • Hands-on experience with equipment data integration, including familiarity with OPC-UA, APIs, database connectivity, network architecture, and/or middleware platforms.
  • Experience serving as a system owner or system administrator for validated computerized systems in a GMP environment.
  • Demonstrated ability to work cross-functionally with Manufacturing, Quality, Validation, IT, and Facilities teams.
  • Experience in cell therapy, gene therapy, or advanced therapy manufacturing environments preferred.
  • Experience with CGT-specific manufacturing equipment required.
  • Experience with specific platforms such as (but not limited to) Apprentice.io, MasterControl, PAS-X (EBR), LabVantage, LabWare, or Benchling (LIMS), and/or AVEVA PI or InfluxDB (historian) preferred.
  • Experience supporting process validation lifecycle activities, BLA preparation, or regulatory inspection readiness preferred.
  • Strong technical writing capability and excellent cross-functional communication and collaboration skills.
  • Demonstrated ability to operate with a high degree of independence, define scope, manage competing priorities, and deliver results in a fast-paced, dynamic environment.
$72 - $86 an hour
About GeneFab 
GeneFab is a contract manufacturing and synthetic biology biofoundry focused on cell and gene therapies. GeneFab was formed in 2023 with a vision to combine industry leading expertise in synthetic biology with advanced cGMP capabilities in order to accelerate the development and commercialization of genetic medicines. GeneFab offers its customers an extensive technology platform and know-how that spans early stage product design, technical development, and cGMP compliant production. GeneFab's technology platform includes bioinformatic-guided discovery of cell type promoters, directed evolution of small molecule-regulated gene switches, and the engineering of highly sensitive kill switches for enhanced safety and control of cellular therapies.

We are committed to an inclusive and diverse GeneFab. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse GeneFab team. We welcome people of different backgrounds, experiences, abilities, and perspectives and are an equal opportunity employer.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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