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Salary
$56k – $69k per year
Location
Remote (likely Poland)
Seniority
Middle · 3+ years exp
Employment
Full-Time

First seen by Alion on Sep 28, 2026.

Overview
Company
Impact
Profile match
DataArt is a global software engineering and consulting firm headquartered in New York that builds and modernises custom software, data platforms and cloud infrastructure for clients in finance, travel, healthcare, media and retail. Founded in 1997, it runs delivery centres across Europe, the Americas and Asia, including offices in Wroclaw, Lublin and Lodz in Poland and teams in India, and works with more than 400 enterprise clients. Its openings include senior .NET, Java, Python and frontend engineers, DevOps and site reliability engineers, data architects and data engineers, QA automation leads and solution consultants.

Technology stack

Python, OpenTelemetry, AWS Distro for OpenTelemetry (ADOT), AWS CloudWatch, AWS X Ray, YAML, Git, CI/CD, Cloud Infrastructure, SDK Development

Project overview

The project focuses on building a configurable telemetry platform that provides advanced monitoring, tracing, and metrics capabilities for modern cloud applications. The platform leverages OpenTelemetry and AWS services to deliver flexible observability solutions through extensible SDKs and telemetry pipelines.

Team

Medium team (10-20 people)

You will work in a collaborative team of software engineers, platform engineers, and cloud specialists. The team follows a knowledge-sharing approach and works closely across engineering disciplines to design, implement, and enhance observability capabilities.

Position overview

We are looking for an Observability Engineer with strong experience in OpenTelemetry and Python development to contribute to a cloud based telemetry platform. You will help design and implement observability solutions, extend telemetry capabilities, and build scalable SDK components that enable visibility into application performance and behavior.

Responsibilities

  • Develop and enhance Python SDK libraries for telemetry collection and observability solutions

  • Design and maintain AWS Distro for OpenTelemetry collector configurations, including pipelines, processors, and exporters

  • Implement OpenTelemetry SDK extension patterns for custom metrics, custom spans, and configurable telemetry

  • Build and optimize export pipelines for AWS CloudWatch Metrics and AWS X Ray

  • Create and maintain YAML driven telemetry configuration schemas

  • Collaborate with engineering teams to define observability requirements and telemetry standards

  • Contribute to technical design discussions and platform improvements

  • Support testing, troubleshooting, and performance optimization activities

Requirements

  • 3+ years of experience in observability engineering, platform engineering, or a related area

  • Experience designing and implementing ADOT or OpenTelemetry collector pipelines

  • Experience developing Python SDKs, libraries, or reusable software components

  • Experience with AWS CloudWatch Metrics and AWS X Ray integrations

  • Experience working with YAML based configuration management

  • Understanding of observability concepts including metrics, traces, and telemetry pipelines

  • Experience working with source control systems and collaborative development practices

Nice to have

  • Familiarity with Strands

  • Familiarity with LangGraph

  • Experience designing customer facing SDK extensibility patterns

  • Experience working with CloudWatch custom metrics and dimensions

  • Knowledge of cloud native observability architectures

  • Experience with distributed systems and platform engineering environments

What We Offer:

  • Vacation days: Up to 26 business days per year.

  • 10 illness/special days

    off per year (fully paid, no medical papers needed) for all contract types

  • Health and life insurance (Luxmed)

  • MyBenefit platform with Multisport option

  • Internal psychological support service

  • English language classes from the first working day

  • Access to external learning platforms: O'Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training

  • Flexible workplace: work from the office, from home, or choose a hybrid option

  • Tech Skills Mentoring Program

  • Opportunities to develop as a public speaker, mentor, or technical interviewer

  • Fully paid idle (bench) when not involved in a project

  • Certification reimbursement (AWS, GCP, Microsoft, etc.)

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