2,038,124open jobs
120,318companies
252,670added this week
Browse all
Salary
$220k – $300k per year
Location
In office (San Francisco)
Seniority
Staff · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 27, 2026.

Overview
Company
Impact
Profile match
Headquartered in San Francisco, California, True Talent Solutions Partners is a specialized recruitment and talent acquisition consultancy partnering primarily with high-growth technology startups and venture-backed firms. The company focuses on sourcing and placing top-tier talent across core technical and business domains, including artificial intelligence, software engineering, product development, and executive leadership. Through tailored search strategies and direct collaboration with company founders, it helps emerging organizations rapidly scale their teams and build sustainable hiring pipelines.

About the Role

Lead platform engineering for a data infrastructure company building a foundational platform that turns complex scientific data into a unified, queryable knowledge base. You will own architecture, security, and scaling while setting engineering standards and helping grow the platform team.

What You'll Do

  • Own the architecture, delivery, security posture, and scaling of the core data and execution platform.

  • Build and maintain ingestion pipelines, APIs, microservices, and storage layers that structure varied scientific inputs while preserving data provenance.

  • Manage knowledge graph and vector search systems to support hybrid retrieval for AI agent workloads.

  • Develop high-concurrency services in Go and Python, including controls for agent writes and isolated execution environments.

  • Establish platform security practices for authentication, tenant isolation, secrets management, encryption, and zero-trust access.

  • Own cloud infrastructure, CI/CD, and observability, and define service objectives and internal developer workflows.

  • Set engineering patterns, review code, mentor teammates, and help build the platform engineering team.

  • Partner with company leadership on team design, candidate interviews, and recruiting.

What We're Looking For

  • Three to seven years of platform or infrastructure engineering experience, with hands-on experience building production backend infrastructure, data platforms, or distributed systems.

  • Deep proficiency with Kubernetes, Terraform, Ansible, and modern CI/CD systems.

  • Experience designing ETL or ELT pipelines for complex, unstructured enterprise or scientific data.

  • Strong software engineering skills alongside dedicated infrastructure engineering experience.

  • Experience with Go, Python, FastAPI, TypeDB/TypeQL, Qdrant, GitHub Actions, OpenTelemetry, and Prometheus.

  • Biotechnology, computational biology, data compliance, or early-stage infrastructure experience is helpful.

Compensation & Benefits

Base salary is $220,000 to $300,000 annually. Equity details were not provided. Visa sponsorship or transfer is not available; candidates must be authorized to work in the United States without sponsorship.

Location

On-site, five days per week in San Francisco, California. Relocation assistance is available.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,038,124 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

DevOps
Similar stack
Same company
San Francisco
$240k – $359k per year · In office · Full-Time · 10+ years exp · Reston
Management
Confluence
Jira
Agile
Service Desk
Apply
≈ $132k – $245k per year (Estimated) · Remote (United States) · Top Secret · Full-Time · 10+ years exp · Bachelor's Degree
Python
Apply
$124k – $165k per year · Hybrid · Full-Time · 8+ years exp · Bachelor's Degree · Scottsdale
DevOps
GCP
Azure
CI/CD
AWS
Harbor
Platform Engineering
Incident Management
SLI/SLO/SLA
Linux
Unix
Apply
$122k – $207k per year · In office · Full-Time · O'Fallon
Python
Java
AI/ML
Hadoop
DevOps
CI/CD
Kubernetes
Platform Engineering
Apply
DevOps Engineer 5 hours ago
$87k – $134k per year · In office · TS/SCI · Full-Time · 15+ years exp · Master's Degree · Bethesda
Python
JavaScript
PHP
Ruby
DevOps
Puppet
Ansible
Vagrant
CI/CD
Jenkins
AWS
Docker
Kubernetes
GitHub
Amazon ECS
Unix
Management
Confluence
Jira
Agile
Apply
$177k – $239k per year · Equity · In office · Full-Time · 7+ years exp · Bachelor's Degree · Mountain View · San Francisco
SQL
Databases
Apache Kafka
AI/ML
Hadoop
AI Agents
Machine Learning
DevOps
AWS
Amazon Kinesis
Cybersecurity
GDPR
HIPAA
Apply
$125k – $150k per year · In office · 4+ years exp · San Francisco
Python
SQL
Python
Flask
Databases
PostgreSQL
AI/ML
Pandas
DevOps
AWS
Docker
Kubernetes
Analytics
ETL/ELT
Management
Jira
Apply
Driver 6 hours ago
≈ $62k – $121k per year (Estimated) · In office · 5+ years exp · High School Diploma · San Francisco
Apply
$177k – $239k per year · Equity · In office · Full-Time · 7+ years exp · Bachelor's Degree · Seattle · San Francisco · Dallas
SQL
Databases
Apache Kafka
AI/ML
Hadoop
Machine Learning
DevOps
AWS
Amazon Kinesis
Cybersecurity
GDPR
HIPAA
Apply
$151k – $204k per year · Equity · In office · Full-Time · 3+ years exp · Bachelor's Degree · Jersey City · Boston · Austin · Arlington · Seattle
DevOps
AWS
Management
Scrum
Apply
See all jobs
This is one of many
2,038,124 more open roles from verified company boards, updated every day.