Telemetry

Telemetry Developer Jobs

4 jobs found

6d ago

Software Engineer I

Disney Entertainment and ESPN Product & Technology Glendale, CA

Glendale, CA

6d ago

$98k - $131k/yr Full time Backend Developer Analytics Automation

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Job Description

Software Engineer I will join the Observability & Insights group to help build telemetry, monitoring, and insights platforms that support Disney’s large-scale streaming services.

Responsibilities

Develop, test, and document features in existing observability codebases across metrics, logs, traces, dashboards, alerting, and telemetry pipelines.
Fix bugs and address technical debt in assigned components with support from senior teammates.
Write clean, readable, and well-tested code aligned to team standards and established observability frameworks.
Learn and apply patterns for high-volume, low-latency telemetry ingestion and storage.
Assist with service instrumentation and validate telemetry quality (metrics, logs, traces) with partner engineering teams.
Build and update dashboards, reports, and visualizations for system health and operational trends.
Tune alerting and reduce noise under guidance from senior engineers and incident response partners.
Participate in code reviews by giving and receiving constructive feedback.
Contribute to technical design discussions for small-to-medium features and document work for maintainability and onboarding.
Work on guided implementation tasks to gain exposure to AWS, Kubernetes, and Infrastructure as Code (IaC).
Shadow on-call rotations and incident response workflows to build operational awareness.
Break down assigned work into clear tasks, ask questions early, and communicate progress and blockers proactively.
Partner across the Observability & Insights group and service engineering teams to deliver incremental improvements.
Participate in team rituals including standups, sprint planning, retrospectives, and knowledge-sharing.
Build foundational skills in reliability engineering concepts such as SLIs, SLOs, post-incident reviews, and blameless culture.

Requirements

Proficiency in at least one backend or systems programming language: Go or Python (coursework, internships, and personal projects count).
Foundational knowledge of software development practices: Git, unit testing, debugging, and working within an existing codebase.
Basic familiarity with cloud computing concepts, with interest in learning AWS and Kubernetes in production environments.
Introductory understanding of observability concepts: metrics, logs, tracing, alerting (or strong motivation to learn quickly).
Ability to communicate clearly, accept feedback, and collaborate effectively in a distributed engineering team.

Technologies

Go, Python, Git
AWS, Kubernetes, Infrastructure as Code (IaC)
metrics, logs, traces, dashboards, alerting, telemetry pipelines
SLIs, SLOs
Grafana, Prometheus, OpenTelemetry, Datadog, New Relic
distributed systems, data pipelines, event-driven architectures
Kafka
CI/CD

Preferred Qualifications

0–2 years of professional software engineering experience, or completion of a relevant internship, co-op, or new-graduate program with demonstrated project work.
Internship, co-op, or project experience related to observability, SRE, DevOps, or platform engineering.
Exposure to observability tools or standards such as Grafana, Prometheus, OpenTelemetry, Datadog, New Relic, or similar.
Experience with distributed systems, data pipelines, or event-driven architectures (academic, internship, or side projects).
Contributions to open source, hackathons, or personal projects showing curiosity and initiative.
Coursework or experience with databases, streaming systems (e.g., Kafka), or CI/CD pipelines.
Familiarity with AI-assisted development workflows and a growth mindset toward modern engineering practices.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Role Details

Location: Glendale, CA (onsite)
Compensation: USD 97,500 - 130,700 per yearly
Team: Product Engineering, the unified team responsible for engineering Disney Entertainment & ESPN digital and streaming products and platforms
Group: Observability & Insights
Products supported: Disney+, Hulu, ESPN, ABC, ABC News, and related products

Required Education

Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a comparable field of study, or equivalent work experience.

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1mo ago

Data Engineer - Telemetry & Analytics Pipeline

Entarian Denver, CO

Denver, CO

1mo ago Closed

$105k - $130k/yr Full time Amazon Web Services Analytics Arm/bicep

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Entarian is seeking a Data Engineer to design, build, and maintain telemetry and analytics pipelines that collect, process, and deliver data for analytics, monitoring, and security decision-making. The role ensures high-quality, real-time data flow across cloud and on-prem environments to support operational insights within a Zero Trust framework. Located in Denver, CO, this onsite position offers a competitive salary and the chance to contribute to mission-critical data infrastructure.

Overview

Location: Denver, CO (onsite)
Salary: USD 105,000 - 130,000 per year
Minimum experience: 5 years
Education: Bachelor’s degree in information technology, computer science, engineering, or related technical discipline
Contract status: Position is contingent upon contract award and funding

Responsibilities

Architect and deploy scalable telemetry ingestion pipelines that span cloud environments, endpoints, networks, and applications
Develop both real-time streaming and batch processing workflows using modern data engineering tools
Create data models, schemas, and metadata structures to support analytics, dashboards, and machine learning
Improve pipeline performance, reliability, observability, and data quality
Ingest telemetry from identity systems, logging platforms, monitoring tools, and security technologies
Automate ETL or ELT processes, data normalization, and event enrichment
Collaborate with analytics, cloud, security, and platform engineering teams to define data requirements
Maintain governance, retention, compliance, and secure handling of data across pipelines
Troubleshoot ingestion issues, latency, schema drift, and data integrity concerns
Document pipeline architecture, data flow diagrams, and operational procedures

Requirements

Active Secret security clearance
Bachelor’s degree in information technology, computer science, engineering, or related discipline (equivalent experience considered)
Minimum five years of experience with modern data engineering platforms (Azure Data Factory, AWS Glue, Databricks, Kafka, Spark, Flink, etc.)
Strong ability to build data ingestion and streaming pipelines
Proficiency in Python, SQL, or similar languages
Knowledge of data modeling, ETL/ELT patterns, and distributed systems
Familiarity with telemetry sources (logs, metrics, events) and common security/monitoring tools
Experience with cloud storage (S3, ADLS, GCS) and data warehouses or lakehouses
Understanding of data governance, lineage, and quality frameworks
Strong technical communication skills
Proficiency with Microsoft Office Suite (Word, PowerPoint, Excel, Project, Outlook)
Ability to travel approximately 25% to support customer locations, mission partner engagements, and operational activities

Technologies

Azure Data Factory
AWS Glue
Databricks
Kafka
Spark
Flink
Python
SQL
S3
ADLS
GCS
Elastic
Splunk
Azure Monitor
Grafana
OpenTelemetry
Terraform
ARM/Bicep

Join the Mission and Start Your Career Journey

Apply directly via our Careers Portal. For referrals or inquiries, please email the team at careers@entarian.com.

About Us

Entarian is formed through the strategic union of Sev1Tech and ERT, a premier provider of mission-critical engineering and technology solutions. Founded on a legacy dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness.

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1mo ago

Principal Software Engineer- Telemetry/Observability

JPMorganChase Seattle, WA

Seattle, WA

1mo ago Closed

$204k - $285k/yr Full time Analytics Business Intelligence Cloud

This position is no longer accepting applications (closed Aug 23, 2026).

Job Description

JPMorganChase seeks a Principal Software Engineer focused on observability and telemetry platforms within the Core Foundational Platforms group. Based in Seattle, WA onsite, this role designs end-to-end telemetry pipelines, builds platform services, and guides observability strategy across VPC and cloud networking environments, with a salary range of USD 204,250 to 285,000 per year and a requirement of 10+ years of software engineering experience.

Responsibilities

Designs scalable software frameworks and platform services for observability within VPC environments, applying robust software design patterns.
Delivers secure, production-grade code and conducts reviews and debugging across telemetry collection, enrichment, storage, and visualization components.
Leads end-to-end telemetry pipelines covering metrics, logs, traces, and events, establishing standards, schemas, and instrumentation patterns for platform and application teams.
Develops and evolves CI/CD pipelines to enable reliable delivery, automated testing, policy as code, and safe progressive rollouts for observability services.
Architects solutions for software-defined networking and cloud networking environments, including troubleshooting across layered network paths and dependencies.
Builds and maintains monitoring, alerting, and SLO/SLI practices using tools like Splunk, Grafana, and Prometheus, including dashboards, alerts, and runbooks.
Advises cross-functional teams on telemetry strategy, platform integrations, and readiness for operations.
Acts as the function's subject matter expert for observability and telemetry across the VPC platform, guiding standards and best practices.
Creates durable, reusable software frameworks used across teams, such as SDKs, libraries, templates, reference architectures, and golden paths.
Informs senior stakeholders by communicating tradeoffs, risk, and roadmaps for platform reliability and resiliency.
Champions diversity, opportunity, inclusion, and respect within the firm.

Requirements

10+ years of software engineering experience, including building and operating production platform services.
Hands-on involvement in system design, application development, testing, and operational stability, ideally for platform, infrastructure, or developer productivity products.
Expert Python development experience, building services, automation, tooling, and integrations for telemetry and operations workflows.
Strong Linux systems and networking expertise (TCP/IP, DNS, TLS, routing, NAT, packet capture), with the ability to diagnose cross-system issues in distributed environments.
Practical experience with CI/CD and modern delivery practices (progressive delivery, automated quality gates, artifact/version management).
Advanced knowledge of software development processes with in-depth expertise in cloud platforms, platform engineering, reliability engineering, networking, or observability.
Experience with observability tooling such as Splunk, Grafana, or Prometheus, including instrumentation, queries, dashboards, alerts, and operationalization.
Experience designing or operating telemetry data pipelines (collection agents, exporters, scraping, indexing, retention, cardinality management, performance and cost controls).
Proven ability to apply expertise and new methods to solve complex technology problems across multiple disciplines.
Working knowledge of software-defined networking concepts and environments, including integrations and operational considerations for VPC-like network platforms.

Technologies

Python
Splunk
Grafana
Prometheus
OpenTelemetry
Terraform

Benefits

Salary: USD 204,250 - 285,000 per year, base determined by role, experience, skill set and location.
Commission-based pay
Discretionary incentive compensation in cash and/or forfeitable equity
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare support
Tuition reimbursement
Mental health support
Financial coaching

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2mo ago

Telemetry/Data Engineer

General Dynamics Information Technology Washington, DC

Washington, DC

2mo ago Closed

$111k - $150k/yr Full time Analytics AWS Cloud

This position is no longer accepting applications (closed Jul 21, 2026).

Job Description

The Telemetry Data Engineer will design and operate telemetry data flows for Advana's AI/ML platform across multiple security enclaves, enabling observability and rapid incident triage. This on-site role is based in Washington, DC, with a salary range of USD 111,155 to 150,385 per year. A Bachelor's degree is required, with a minimum of eight years of related experience.

Responsibilities

Designs and operates telemetry data flows for Advana AI/ML model serving across Unclassified and NIPRNet, Secret and SIPRNet, and Top Secret and JWICS enclaves, supporting Combatant Commands, Joint Staff directorates, Senior Executive Service leaders, and CDAO mission teams.
Shapes and normalizes telemetry payloads from serving APIs, reverse proxies, model runtimes, and data services into structured streams consumable by monitoring and analytics platforms such as Prometheus, Grafana, Elasticsearch, Splunk, and cloud-native observability services.
Implements schema management, serialization formats, and field naming conventions for latency, error, throughput, and model performance indicators to create consistent telemetry across Kubernetes clusters and Advana microservices.
Builds routing and transformation logic using technologies such as Apache Kafka, Kinesis, or similar message queues to move telemetry reliably into long-term analytic stores and mission dashboards.
Collaborates with model serving engineers, DevSecOps pipeline personnel, and cybersecurity analysts to embed telemetry hooks into deployment templates, runtime configurations, and automated test stages supporting mission assurance and rapid incident triage.
Develops and maintains operational dashboards, data quality checks, anomaly detection rules, and runbooks that support watch floor operations, incident response cells, and Engineering Control Board reviews.
Produces data flow diagrams, telemetry interface specifications, and configuration documentation that strengthen observability, support cross-domain promotions, and advance Advana enterprise reliability and decision advantage.

Requirements

Bachelor of Science degree required; additional years of related experience may substitute for the degree.
Eight or more years of experience designing and implementing telemetry data flows for AI and machine learning systems.
IAT II level Security+ certification.
Top Secret clearance with SCI eligibility.

Technologies

Prometheus
Grafana
Elasticsearch
Splunk
Apache Kafka
Kinesis
Kubernetes

Benefits

Health benefits including medical, dental, and vision insurance
401(k) plan with company matching
Educational assistance and eLearning
Flexible work week
Internal mobility team focused on employee growth
Rewards and recognition programs
Collaborative environment that encourages critical thinking and innovation

Work Requirements

5+ years of related experience
May vary based on technical training, certification(s), or degree
CompTIA Security+ CE certification
U.S. Citizenship Required

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