Get Hired Faster With COMPANY_NAME!
Don't you ever think you landed here by any accident, You are here because you are searching for something bigger. You know what?
- A better Job
- A better Future
- A better Knowledge
- A better Paycheck
- A greater Path to walk on.
And COMPANY_NAME is here to give you exactly what you've been missing for so long. The reality is that most job seekers chase job postings, but successful job seekers attract job offers by chasing the accurate information. Therefore, that's the shift COMPANY_NAME is going to help you make. Here are the top 10 ideas to up-skill yourself, so lean in to begin:
1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process
COMPANY_NAME is a career-changing advantage that most seekers never get access to. Imagine...
- Instead of applying for job after job and still not getting any callbacks, you suddenly bump into a tool that can do the heavy lifting for you.
- Instead of wondering, "What do employers actually want?", you are getting insights straight from the employer's desk.
- Instead of hoping your resume gets noticed, it’s kept on the table of decision-makers who are hiring right now.
That's the difference COMPANY_NAME makes. Our tools will let you reach employers directly, which automatically speeds up your hiring process.
2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!
How does COMPANY_NAME make this possible?
On COMPANY_NAME, you get notified for roles aligned with your profile right from the start. When an employer posts a role that matches your qualifications and skills, you’ll know first. When you apply early, your chances of getting noticed and shortlisted increase by 20%.
COMPANY_NAME also offers direct employer responses—no more waiting for weeks. Here you engage with hiring managers who are actively looking for candidates.
When all these features combine in one place, you move from your first match to your first interview within days. And ultimately, from application to offer—all within 15 to 30 days!
3: The Type of Resume You Need to Get Priority Placement
With COMPANY_NAME, you don’t just need a resume—you need a strategy. A system that pushes your name to the right tables. We’ll show you exactly how the most successful candidates take initiative and get noticed.
4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME
The job market isn’t one-size-fits-all—and your career shouldn’t be either. COMPANY_NAME gives you access to a wide range of opportunities including full-time, part-time, and freelancing roles all in one place.
5: COMPANY_NAME Helps You Grow Your Career
COMPANY_NAME provides insights, tools, and role-matching that help you find the right direction, the right skills, and the opportunities aligned with your ambition.
6: The Easiest Way To Find A Job
COMPANY_NAME cuts the noise, the endless scrolling, and the confusion. With accurate matches, direct employer connection, and real-time updates, you get a clear and simple path from application to interview.
7: Find Roles That Offer Growth, Culture & Benefits
COMPANY_NAME helps you find roles where you grow, feel supported, and thrive—not just survive. With us, you discover opportunities that elevate your professional life.
8: Get Support With Resume, Interviews & Career Planning
COMPANY_NAME provides expert guidance on resumes, interviews, and planning so employers instantly recognize your strengths and value.
9: Your Future Starts Today
COMPANY_NAME gives you everything you need—tools, guidance, and opportunities—to step forward confidently and begin a new chapter where your potential is seen and supported.
10: Get Hired Within 15 to 30 Days With COMPANY_NAME
COMPANY_NAME follows a smart, strategic, and proven approach that gets your profile noticed faster and moves you toward interviews and offers within 15 to 30 days.
Founding Data Engineer • PG/Opensearch
About Neuroscale
Neuroscale is building the AI recruiting operating system — one unified platform for your entire talent organization, from first touch to hired. Arbi eliminates fragmented workflows, integrates directly with your ATS, and orchestrates AI agents for sourcing, outreach, screening, and candidate intelligence end-to-end. By combining reasoning-optimized models with deep workflow automation, Arbi helps talent teams win more top candidates with dramatically less friction.
We're backed by top operators and investors, and we're growing fast. Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception Program, the HPE Unleash AI Program, and our active DoD SBIR Phase II award and contract.
We are looking for a Founding Data Engineer who can build the data backbone of the platform and help us scale reliably across ingestion, transformation, indexing, storage, and retrieval workflows. This is not a maintenance role. This is a hands-on, high-ownership opportunity for someone who has operated at a staff engineer, architect, or founding/lead engineer level and knows how to build production-grade systems that scale. You will work on the backbone of our platform: APIs, orchestration systems, data workflows, search infrastructure, background jobs, cloud deployment, and backend systems that power AI-enabled products for real customers.
Role Overview
This is a hands-on founding engineering role for someone who knows how to design, build, and operate production-grade data systems. You will work closely with backend engineers, AI engineers, and product leaders to create the data infrastructure that powers search, analytics, and AI-driven product experiences.
You should be comfortable working in a fast-moving startup environment, making pragmatic technical decisions, and owning systems end to end.
What You'll Do
Design, build, and maintain scalable batch and streaming data pipelines that support Neuroscale AI's core platform
Build robust ingestion, transformation, enrichment, and indexing workflows across structured, semi-structured, and document-centric data
Develop and operate production-grade data systems using PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python-based tooling
Design efficient data models, schemas, and storage patterns that support analytics, search, application workflows, and AI use cases
Build secure cloud-native data infrastructure using AWS services such as S3, Lambda, Glue, Kinesis, and IAM
Optimize PostgreSQL for advanced SQL workloads, replication, query performance, and data integrity
Design and manage search and retrieval pipelines in OpenSearch/Elasticsearch for high-speed, relevant access to data
Improve observability, lineage, testing, and reliability across the data platform
Automate infrastructure provisioning and environment management using Terraform or CloudFormation
Partner closely with backend, product, and AI teams to enable new data-driven capabilities and platform features
Help define engineering standards, data platform best practices, and operational playbooks as the company scales
Requirements
Strong experience in data engineering or backend/data platform engineering in production environments
Strong programming skills in Python; experience with Typescript is a plus
Deep hands-on experience with PostgreSQL, including advanced SQL, schema design, query tuning, indexes, sharding, replication, and modeling
Strong experience with OpenSearch/Elasticsearch, including indexing strategy, search performance, relevance tuning, and distributed query operations at very large scale
Experience building and maintaining ETL/ELT pipelines and data processing workflows for large-scale datasets
Hands-on experience with AWS data and infrastructure services, especially S3, Lambda, Glue, Kinesis, and IAM
Experience designing reliable cloud-native data architectures and secure data movement patterns
Experience with Infrastructure as Code, ideally Terraform or CloudFormation
Strong understanding of distributed systems, production operations, fault tolerance, and data reliability
Ability to work with high ownership, move quickly, and make sound engineering decisions in a startup environment
Nice to Have
Experience with Kafka, event-driven systems, or other streaming architectures
Experience supporting vector search, semantic retrieval, or AI/ML data pipelines
Experience with workflow orchestration, async processing, and integration-heavy platforms
Experience with containerized environments, CI/CD pipelines, and production monitoring
Experience working on document-centric or AI-enabled platforms
Compensation & Benefits
Base Salary: $100,000 – $200,000
Equity: ~0.1–0.75% early-stage equity with a clear range shared during the process
Bonus: Quarterly performance bonuses tied to clear feature shipping targets
Healthcare: Medical, dental, and vision coverage
PTO: 14 days accrued annually
Learning: $2,000+ per year for courses, conferences, books, and communities
Equipment: New MacBook Pro, monitor, and a monthly tools budget
Flexibility: Flexible hours; ideally in-person in the Northern Virginia / Washington DC region (remote considered)
Growth: Clear, fast-track path to Engineering Lead as the team scales
Why Join Neuroscale AI
Founding role with significant ownership over architecture, tooling, and platform decisions
Direct exposure to company leadership with real influence over product direction
Work on modern AI, search, and data infrastructure problems with direct customer impact
Build systems from day one — no legacy architecture to inherit
Zero bureaucracy, high trust, and a strong culture of ownership and technical excellence
A seat at the table as we scale our product, team, and engineering culture
