Sr. Software Engineer - Systems Insights

Posted July 29, 2026

Salary / CompensationCompetitive Pay

Work ModeRemote

Employer / LocationRemoteHunter

DeadlineRolling / Open

About this opportunity

A telemetry infrastructure company that supports AI initiatives is hiring a Senior Software Engineer to design and build a next-generation metric storage and query system. The company partners with IT and security teams at large enterprises, including many Fortune 100 companies, to help them manage and analyze telemetry data for both human users and automated agents. This role sits at the core of that mission, building the backend systems that let customers ingest, retain, query, and analyze time-series data at scale. The day-to-day work involves designing and implementing a customer-facing metric store, building scalable backend services and APIs, and modeling storage patterns for high-cardinality time-series data. You will collaborate with Product and Design teams to create customer-facing features, analyze query performance and ingestion throughput, and define engineering practices for new product areas. You will also mentor less experienced engineers, participate in planning and forecasting, and share on-call duties as part of service ownership. This is a hands-on role with significant influence over core backend services, data modeling, and performance optimization. The company operates in the observability and telemetry space, a field that has grown rapidly as organizations adopt AI and need to monitor increasingly complex infrastructure. Their platform enables customers to manage telemetry data for both human users and automated agents, facilitating the development of advanced solutions at scale. Working here means building infrastructure that sits between AI ambitions and the actual capabilities of enterprise IT systems. This role is remote, but it comes with a specific compliance requirement: you must meet U.S. government security requirements for FedRAMP-authorized systems, which may include U.S. citizenship. The pay range and compensation package will be determined based on your experience, skills, and other relevant factors. The company is an equal opportunity employer and is committed to creating an inclusive environment for all employees.

Responsibilities

Design and implement the customer-facing metric store for telemetry data
Develop clean, maintainable, and efficient code with a focus on performance and operational resilience
Build scalable backend services and APIs for metric ingestion, storage, metadata management, and querying
Model and manage storage patterns for time-series data, including handling high-cardinality dimensions and retention policies
Collaborate with Product and Design teams to create intuitive customer-facing features
Integrate metric storage and query capabilities into broader product initiatives
Analyze and enhance query performance, ingestion throughput, storage efficiency, and system reliability
Define engineering practices for new product areas, including testing, deployment, and monitoring
Mentor less experienced engineers to improve technical ownership and impact
Participate in planning and forecasting to balance feature development, technical debt, and reliability
Lead the full software development lifecycle from requirements to production support
Share on-call duties as part of service ownership
Be available for stand-by, on-call, or off-hours support as needed

Requirements & Qualifications

Compliance with U.S. government security requirements for FedRAMP-authorized systems, which may include U.S. citizenship
Experience building backend services in large-scale distributed systems
Proficiency in writing clean, testable production code, preferably in Node.js and TypeScript
Experience with SaaS platforms, data platforms, observability systems, or high-volume cloud services
Knowledge of time-series data, metrics, telemetry pipelines, query systems, or analytical databases
Experience designing secure, intuitive, and extensible APIs
Strong understanding of data structures, algorithms, Linux, networking, and distributed systems
Experience with cloud infrastructure such as AWS or other major providers
Familiarity with storage systems, query optimization, indexing, partitioning, caching, and data lifecycle management
Advantageous experience with observability concepts and related technologies such as PromQL, ClickHouse, Prometheus, OpenTelemetry, Kafka, and similar
Experience with testing frameworks and CI/CD pipelines
Self-motivated with the ability to learn quickly and work with minimal supervision
Attention to detail and commitment to high-quality software
Ability to balance trade-offs between correctness, performance, cost, operability, and user experience
Willingness to communicate openly and effectively

How to Apply

Review the requirements to confirm you meet the FedRAMP compliance and technical qualifications.
Prepare your resume and any relevant work samples that demonstrate your experience with distributed systems and time-series data.
Click the Apply button below to submit your application.

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Submit your materials before the official deadline.

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Review the responsibilities and qualifications to confirm your experience aligns with the role. 2. Prepare your resume and any relevant portfolio or project documentation. 3. Click the Apply button below to submit your application.

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