Platform Engineer

TalenTown İnsan Kaynakları - İşe Alım Ajansı; Fatih; On-site; TRY 450,000 - 700,000; Full time

Job summary

TalenTown İnsan Kaynakları - İşe Alım Ajansı seeks a Senior Engineer to shape internal tooling for engineering teams. You will design, build, and maintain developer tools, including CLI apps for environment setup and data access libraries, to accelerate software delivery.

Responsibilities include architecting scalable tools, driving DevOps practices, and mentoring engineers while integrating AI-assisted workflows into daily development.

Qualifications

• Bachelor's degree in CS, Engineering, or a related field.
• 4–8 years of professional software engineering experience.
• Strong Python proficiency and OO design skills.
• Experience designing scalable, well-architected systems.
• Hands-on with cloud platforms (Azure, AWS, or GCP).

Responsibilities

• Architect and deliver internal tools and libraries, modular and secure.
• Contribute across architecture, prototyping, testing, and support.
• Drive DevOps practices for continuous delivery with telemetry.
• Evaluate new technologies through PoC and adoption decisions.
• Lead design discussions and mentor junior engineers.
• Integrate AI coding assistants, CLIs, and MCPs into workflows.

Skills

Python

Software architecture

CI/CD

DevOps

OOP design

Cloud platforms

Communication

AI tooling integration

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

PySpark

Datadog

OpenTelemetry

Job description

We're looking for a Senior Engineer to join our Platform team and shape the internal tooling that empowers engineering teams across the organization. You'll design, build, and maintain high-impact developer tools — including CLI applications for environment setup, CI/CD modernization frameworks, data access libraries, and self-service platform capabilities — that directly accelerate how our engineers ship software.

What You'll Work

• Tooling & Developer Experience: Build and evolve applications that streamline environment provisioning, configuration, and day-to-day developer workflows.
• CI/CD Modernization: Design and implement next-generation continuous integration and delivery pipelines, driving adoption of modern GitOps workflows and reliable deployment practices.
• Data Access Libraries & SDKs: Develop internal libraries that provide consistent, secure, and performant access to data stores — abstracting complexity away from consuming teams.
• Internal Tooling & Automation: Identify repetitive pain points across engineering and build robust, reusable tooling to eliminate them.

Responsibilities

• Architect and deliver internal tools and libraries that are well-defined, modular, secure, scalable, and actively maintained.
• Contribute across the full development lifecycle — from architecture and prototyping through testing, development, and support.
• Drive modern software engineering practices through code and design reviews; champion DevOps principles for continuous delivery with high-quality telemetry.
• Evaluate emerging technologies through proof-of-concept work and recommend adoption where they fit our platform needs.
• Lead design discussions and align teams on architectural and strategic decisions for shared platform components.
• Mentor junior engineers through coaching, pairing, and thoughtful code/design reviews.
• Proficient in integrating AI coding assistants, CLIs, and Model Context Protocols (MCPs) into daily development workflows.
• Uses AI effectively across the software development lifecycle — planning, design, implementation, debugging, deployment, and observability.
• Builds reusable AI tooling (agent rules, skills, internal MCPs) that compounds team productivity, while applying judgment about when AI is and isn't the right tool.
• Balances AI-driven velocity with engineering rigor — implements automated testing, structural guardrails, and CI mechanisms to validate AI-generated code and prevent technical debt.

What We're Looking For Required

• Experience: 4–8 years of professional software engineering experience building production systems at scale.
• Education: Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• Python Mastery: Deep proficiency in Python — strong grasp of OOP, design patterns, packaging, dependency management, and building maintainable libraries and CLI tools(good to have).
• Software Architecture: Demonstrated ability to design well-structured, loosely coupled systems. Comfort making trade-offs between simplicity, extensibility, and performance.
• Cloud & Infrastructure: Hands-on experience with cloud platforms (Azure, AWS, or GCP).
• Container Orchestration & CI/CD: Experience with Docker, Kubernetes, and building CI/CD pipelines (GitHub Actions, Jenkins, or similar). Exposure to GitOps workflows (Flux, ArgoCD) is a plus.
• Data Access & Storage: Experience working with relational databases (PostgreSQL, MSSQL) and NoSQL/key-value stores. Ability to design clean data access abstractions.

Strongly Preferred

• Experience building internal developer tools, platform SDKs, or CLI frameworks.
• Experience with data platform technologies (Spark, PySpark, Databricks, Airflow, or Dagster).
• Hands-on experience with observability tooling (Datadog, Grafana/Prometheus, OpenTelemetry, Statsig).
• Track record of driving developer adoption of platform tools and improving engineering productivity.

Core Competency

• Judgment: Sound decision-making with incomplete information; ability to evaluate trade-offs between cost, reliability, performance, and developer experience.
• Ownership: End-to-end accountability from problem identification through solution delivery and adoption.
• Collaboration: Clear communication across teams and geographies; empathy for internal users; effective remote collaboration.
• Initiative: Proactive identification of workflow bottlenecks and a drive to eliminate them through thoughtful tooling.