Senior Software Engineer, Data Infrastructure - AI Platform

Triwill Group; United States; On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Fully remote work

Regulated cloud environment

High autonomy

Job summary

Jobgether, in partnership with a government-focused client, is seeking a Senior Software Engineer, Data Infrastructure - AI Platform based in the United States. You will help build and operate data infrastructure in a regulated cloud environment, delivering reliable data access for investigations.

You will own OLAP serving layer performance, data pipelines, and production reliability, collaborating with Data Platform and Forward Deployed Engineering teams.

Qualifications

• Experience with distributed OLAP, analytical databases, or serving-layer systems.
• Strong skills in query tuning and database performance optimization.
• Experience owning data pipelines and production infrastructure.
• On-call responsibilities and incident management exposure.

Responsibilities

• Own serving-layer performance and tune for efficiency.
• Build and harden reliable data pipelines for government cloud investigations.
• Improve infrastructure resilience and enable rapid production responses.
• Lead production troubleshooting using AI-assisted techniques.
• Own operational reliability and contribute to runbooks and post-incident reviews.
• Deliver high-impact infrastructure projects from design to deployment.
• Support compliance and security requirements in a regulated environment.
• Collaborate with Data Platform, Forward Deployed Engineering, and Product teams.
• Apply AI to engineering workflows while maintaining standards.
• Contribute to architecture and technical strategy with evidence-based decisions.
• Drive continuous improvement through sprints and retrospectives.

Skills

Distributed OLAP

Query tuning

Data pipelines

Production reliability

On-call

AI tooling

Incident response

Distributed systems

Tools

StarRocks

Trino

ClickHouse

Claude

Cursor

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer, Data Infrastructure - AI Platform based in the United States.

This is a senior-level engineering role focused on building, optimizing, and operating critical data infrastructure in a highly regulated government cloud environment. You’ll work on a distributed serving layer that delivers fast, reliable data access for mission‑critical investigations and applications. The role combines database performance engineering, data pipeline reliability, production operations, and modern AI‑assisted development practices. You’ll take meaningful ownership of systems where availability, compliance, and operational resilience are essential. As part of a distributed and highly collaborative engineering team, you’ll work closely with data platform, product, and forward‑deployed engineering partners. The environment values technical judgment, speed, experimentation, and end‑to‑end accountability. This is an opportunity to deepen your expertise in distributed systems while contributing to technology with significant real‑world impact.

Accountabilities

• Own serving‑layer performance: Lead performance tuning for a distributed OLAP serving layer, using query profiling and AI‑assisted tools to identify and resolve inefficient query patterns before they become customer‑facing issues.
• Build and strengthen data pipelines: Develop and harden reliable pipelines supporting government cloud investigations, emphasizing correctness, scalability, maintainability, and compliance.
• Improve infrastructure resilience: Become an independent operator of critical serving infrastructure, reducing single points of failure and strengthening the team’s ability to respond quickly to production incidents.
• Lead production troubleshooting: Apply AI‑assisted debugging, log analysis, code exploration, and systematic investigation techniques to identify root causes and resolve complex production issues efficiently.
• Own operational reliability: Participate in on‑call rotations, respond to incidents, improve operational procedures, and ensure lessons from production events are incorporated into runbooks and infrastructure improvements.
• Deliver high‑impact infrastructure projects: Take initiatives from technical investigation and design through implementation, testing, deployment, and ongoing operational ownership.
• Support compliance and security requirements: Build and maintain infrastructure capabilities that meet evolving government cloud requirements, including audit, data retention, backup, and reliability standards.
• Collaborate across teams: Work closely with Data Platform, Forward Deployed Engineering, Product, and other engineering teams to maintain reliable capabilities and alignment across government and commercial environments.
• Apply AI to engineering workflows: Use AI tools to accelerate debugging, code review, research, documentation, configuration, and other development workflows while maintaining strong engineering standards.
• Contribute to architecture and technical strategy: Make evidence‑based decisions around system architecture, performance, reliability, and trade‑offs, while sharing expertise with the broader engineering organization.
• Drive continuous improvement: Participate in sprint planning, team discussions, production retrospectives, and asynchronous collaboration to improve systems, processes, and operational practices.

Requirements

• U.S. citizenship is required due to government cloud data access requirements.
• Strong hands‑on experience operating distributed OLAP, analytical database, or serving‑layer systems, such as StarRocks, Trino, ClickHouse, or similar technologies.
• Demonstrated expertise in query tuning, database performance optimization, and distributed systems at scale.
• Experience owning data pipeline reliability, production infrastructure, incident response, and operational troubleshooting.
• Strong understanding of production systems and the ability to independently take ownership of unfamiliar infrastructure with limited oversight.
• Experience with on‑call responsibilities and a demonstrated commitment to operational excellence, reliability, and effective incident management.
• Proven ability to use AI‑powered engineering tools such as Claude, Cursor, or comparable platforms to accelerate debugging, code review, research, documentation, and development.
• Strong applied AI fluency, with the ability to use AI not only for automation but also to structure problems, improve output quality, and increase engineering leverage.
• Excellent technical judgment and a strong ownership mindset, with the ability to take problems from discovery through resolution and production deployment.
• Strong communication and collaboration skills, particularly in distributed, cross‑functional engineering environments.
• Ability to operate effectively in a fast‑moving, high‑ownership environment where priorities may shift and ambiguity is common.
• Ability to balance rapid execution with high standards for reliability, security, compliance, maintainability, and technical quality.

Benefits

• Fully remote work for eligible US‑based employees.
• Opportunity to work on sophisticated data infrastructure supporting mission‑critical government cloud applications.
• Hands‑on exposure to distributed database technologies, AI‑assisted engineering, production systems, and highly regulated cloud environments.
• High‑autonomy engineering culture where system operators have significant influence over architecture and technical trade‑offs.
• Close collaboration with experienced engineers and cross‑functional teams across data platform, product, and forward‑deployed engineering.
• Opportunity to work on technically challenging problems with meaningful real‑world impact.
• Fast‑paced environment emphasizing ownership, experimentation, technical craftsmanship, and continuous learning.
• Exposure to evolving AI engineering practices and an organizational culture where applied AI fluency is considered an important part of technical excellence.
• Distributed‑first working environment with strong asynchronous communication and clear ownership across projects.