📍 Job Overview

Job Title: Team Lead SRE | Data Analytics Platform
Company: ING
Location: Bucharest - Dacia One, Romania
Job Type: Full-Time
Category: DevOps / SRE
Date Posted: 2025-03-17
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

Lead and grow a team of SRE engineers, fostering a culture of learning and innovation in a multi-tenant hybrid platform environment.
Balance technical leadership with hands-on mentoring, ensuring high-quality delivery and alignment with product goals.
Collaborate closely with data analysts, data scientists, and business colleagues across the organization.
Leverage analytics and cutting-edge technologies to build scalable solutions with a focus on data governance and security.

📝 Enhancement Note: This role requires a strong blend of people management and technical skills, with a focus on system reliability engineering (SRE) concepts and data analytics platform experience.

💻 Primary Responsibilities

Chapter Leadership: Build, coach, and inspire a team of engineers with different technological backgrounds, promoting a culture of continuous learning, experimentation, and innovation.
Technical Excellence: Set and maintain standards for best practices, tools, and methodologies, driving initiatives to improve technical quality, scalability, and maintainability.
Talent Development: Conduct regular one-on-one meetings, performance reviews, and growth plans with chapter members, identifying individual strengths and supporting members in their career paths.
Community Building: Foster a strong sense of community within the chapter by organizing knowledge-sharing sessions, workshops, and other opportunities for professional development.
Stakeholder Engagement: Engage with stakeholders across engineering, product, and business functions to ensure alignment on product goals, priorities, and strategies with those of your Chapter members.
Collaboration: Work together closely with data analysts, data scientists, and business colleagues across the organization.
Communication: Explain complicated subjects clearly to different audiences.
Environment Shaping: Be friendly, empathetic, and approachable, challenging engineers in and out of your chapter.
Curiosity: Stay up-to-date with the latest developments and introduce them to the team and projects where applicable.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: Proven experience in people management and technical leadership roles, with a strong background in SRE concepts and data analytics platforms.

Required Skills:

Familiarity with SRE concepts and system/application monitoring.
Knowledge of infrastructure architecture and practices.
Good understanding of databases, including RDBMS and NoSQL.
Experience with monitoring and observability (ELK stack).
Deployment and provisioning automation tools (e.g., Docker, Kubernetes, Openshift, CI/CD).
Infrastructure as code (Terraform, Ansible).
Bash scripting and Linux systems administration.
Analyze, solve, and correct issues.

Preferred Skills:

Experience with distributed systems and clusters for both batch and streaming data (S3/Spark, Kafka/Flink).
System design and architecture.
Experience with Apache Airflow.
Programming in Python.
Experience working in a cloud environment (e.g., GCP) and building distributed, large-scale, and secure applications.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:
- Demonstrate your ability to lead and grow a team of SRE engineers, showcasing your impact on team performance, culture, and technical growth.
- Highlight your technical expertise in SRE concepts, system monitoring, and infrastructure architecture through relevant projects and case studies.
- Showcase your experience with databases, monitoring tools, and cloud environments, emphasizing your ability to build scalable solutions.
Technical Documentation:
- Provide detailed documentation of your past projects, including system designs, architecture decisions, and performance optimizations.
- Include code samples, scripts, and any relevant technical artifacts that demonstrate your technical proficiency.

💵 Compensation & Benefits

Salary Range: €55,000 - €75,000 per year (based on market research for SRE team leads in Bucharest, Romania)

Benefits:

Competitive salary and bonus structure.
Comprehensive health insurance and wellness programs.
Retirement savings plan with company matching.
Generous vacation and leave policies.
Learning and development opportunities, including training, workshops, and conference attendance.
Employee referral bonuses and other perks.

Working Hours: Full-time, 40 hours per week, with flexible scheduling and work-from-home options available.

📝 Enhancement Note: The salary range provided is based on market research for SRE team leads in Bucharest, Romania, and may vary depending on the candidate's experience and skills.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services

Company Size: Large (1700+ employees in Romania, part of a global organization with 58,000 employees worldwide)

Founded: 1991 (ING Group), 2015 (ING Hubs Romania)

Team Structure:

The Data Analytics Platform team consists of 100+ engineers, data analysts, and data scientists working on a multi-tenant hybrid platform combining cutting-edge technologies on both private cloud/on-prem and GCP.
The team is organized into chapters, with each chapter focusing on specific aspects of the platform, such as data governance, security, or specific product features.
The team works in an Agile/Scrum methodology, with regular sprint planning, code reviews, and quality assurance practices.
The team uses CI/CD pipelines and automated deployment strategies for continuous integration and delivery.

Development Methodology:

Agile/Scrum methodologies with regular sprint planning, daily stand-ups, and sprint retrospectives.
Code reviews, pair programming, and regular refactoring sessions to maintain high code quality and technical excellence.
Continuous integration and deployment (CI/CD) pipelines for automated testing, building, and deployment of platform components.
Infrastructure as code (IaC) practices using tools like Terraform and Ansible for automated provisioning and configuration management.

Company Website: ING Romania

📝 Enhancement Note: ING Hubs Romania offers a flexible and collaborative work environment, with a strong focus on impact and innovation. The company encourages fair and constructive feedback and provides opportunities for professional growth and development.

📈 Career & Growth Analysis

Web Technology Career Level: Senior SRE Team Lead

Reporting Structure: Reports directly to the Data Analytics Platform Manager, collaborating with other team leads, product owners, and stakeholders across the organization.

Technical Impact: Leads and mentors a team of SRE engineers, driving technical decisions and ensuring the reliability, scalability, and performance of the data analytics platform. Works closely with data engineers, data scientists, and product teams to define and implement platform architecture and best practices.

Growth Opportunities:

Team Expansion: As the team grows, there will be opportunities to mentor and coach new team members, helping them develop their skills and advance their careers.
Technical Specialization: Deepen your expertise in specific areas of the data analytics platform, such as data governance, security, or emerging technologies.
Leadership Development: Develop your leadership skills by taking on additional responsibilities, such as mentoring other team leads or contributing to company-wide initiatives.

📝 Enhancement Note: This role offers significant opportunities for career growth and development, with a clear path to advancement within the team and the broader organization.

🌐 Work Environment

Office Type: Modern, collaborative workspace with open-plan offices, meeting rooms, and breakout spaces.

Office Location(s): Bucharest - Dacia One, Romania (with an option to work remotely)

Workspace Context:

The workspace is designed to foster collaboration and innovation, with ample space for team meetings, workshops, and knowledge-sharing sessions.
Each engineer has access to multiple monitors, testing devices, and development tools to support their work.
The team works in a hybrid environment, with both on-site and remote collaboration options.

Work Schedule: Full-time, 40 hours per week, with flexible scheduling and work-from-home options available. The team follows a standard business hour schedule, with core hours from 9:00 AM to 5:00 PM.

📝 Enhancement Note: ING Hubs Romania offers a flexible and collaborative work environment, with a strong focus on impact and innovation. The company encourages work-life balance and provides opportunities for professional growth and development.

📄 Application & Technical Interview Process

Interview Process:

Technical Phone Screen: A 30-minute phone or video call to assess your technical skills and cultural fit, focusing on your experience with SRE concepts, system monitoring, and infrastructure architecture.
On-site Technical Deep Dive: A half-day on-site interview consisting of:
- A technical deep dive, focusing on your experience with databases, monitoring tools, and cloud environments.
- A system design exercise, assessing your ability to design and implement scalable solutions.
- A leadership and management exercise, evaluating your ability to lead and grow a team of SRE engineers.
Final Interview: A meeting with the Data Analytics Platform Manager and other key stakeholders to discuss your fit for the role and the team's needs.

Portfolio Review Tips:

Highlight your experience leading and growing a team of SRE engineers, emphasizing your impact on team performance, culture, and technical growth.
Showcase your technical expertise in SRE concepts, system monitoring, and infrastructure architecture through relevant projects and case studies.
Demonstrate your ability to build scalable solutions, with a focus on data governance, security, and performance optimization.

Technical Challenge Preparation:

Brush up on your knowledge of SRE concepts, system monitoring, and infrastructure architecture.
Familiarize yourself with the latest trends and best practices in data analytics platform engineering.
Prepare for system design exercises by reviewing common design patterns and architecture principles.
Practice explaining technical concepts clearly and concisely, focusing on the business impact and user experience.

ATS Keywords: SRE, System Monitoring, Infrastructure Architecture, Databases, Monitoring and Observability, Deployment Automation, CI/CD, Infrastructure as Code, Bash Scripting, Linux Administration, Distributed Systems, System Design, Apache Airflow, Python Programming, Cloud Environment, Data Processing, Team Lead, SRE Team Lead, Data Analytics Platform, Data Governance, Data Security, Scalability, Performance Optimization.

📝 Enhancement Note: The interview process for this role is designed to assess both your technical expertise and your leadership and management skills. Be prepared to discuss your experience with SRE concepts, system monitoring, and infrastructure architecture, as well as your ability to lead and grow a team of SRE engineers.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable for this role)

Backend & Server Technologies:

Databases: RDBMS (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra), and cloud-based databases (BigQuery, Cloud Spanner)
Monitoring Tools: ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana
Deployment Automation: Docker, Kubernetes, Openshift, CI/CD pipelines (Jenkins, GitLab CI/CD)
Infrastructure as Code: Terraform, Ansible
Cloud Environment: Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure
Programming Languages: Python, Bash, SQL

Development & DevOps Tools:

Version Control: Git, GitLab
Code Review: GitLab Merge Requests, Gerrit
Continuous Integration: Jenkins, GitLab CI/CD
Containerization: Docker, Kubernetes
Orchestration: Kubernetes, Openshift
Infrastructure as Code: Terraform, Ansible
Monitoring: ELK Stack, Prometheus, Grafana
Log Management: ELK Stack, Cloud-based solutions (e.g., GCP Stackdriver, AWS CloudWatch)

📝 Enhancement Note: The technology stack for this role is focused on backend and server technologies, with an emphasis on SRE concepts, system monitoring, and infrastructure architecture. Familiarity with the listed technologies is essential for success in this role.

👥 Team Culture & Values

Web Development Values:

Impact: Focus on delivering meaningful results and driving business value through data analytics and cutting-edge technologies.
Innovation: Encourage continuous learning, experimentation, and the adoption of new technologies to stay ahead of the curve.
Collaboration: Foster a strong sense of teamwork and cross-functional collaboration, working closely with data analysts, data scientists, and business colleagues.
Quality: Maintain high standards for code quality, documentation, and technical excellence, ensuring the reliability, scalability, and performance of the data analytics platform.
Responsibility: Take ownership of your work and the work of your team, driving technical decisions and ensuring the success of the data analytics platform.

Collaboration Style:

Cross-functional Integration: Work closely with data analysts, data scientists, and business colleagues to ensure alignment on product goals, priorities, and strategies.
Code Review Culture: Encourage regular code reviews and pair programming to maintain high code quality and technical excellence.
Knowledge Sharing: Organize regular knowledge-sharing sessions, workshops, and other opportunities for professional development to foster a culture of continuous learning and growth.

📝 Enhancement Note: The team culture at ING Hubs Romania is focused on impact, innovation, collaboration, and quality, with a strong emphasis on continuous learning and growth. The team values cross-functional collaboration and encourages knowledge sharing and professional development.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Governance: Ensure the security, privacy, and compliance of data used within the data analytics platform, balancing accessibility and usability with strict data protection requirements.
Scalability: Design and implement scalable solutions that can handle increasing data volumes and user demand, while maintaining performance and reliability.
Emerging Technologies: Stay up-to-date with the latest trends and best practices in data analytics platform engineering, and evaluate new technologies for integration into the platform.
Data Security: Implement robust security measures to protect the data analytics platform from unauthorized access, data breaches, and other security threats.

Learning & Development Opportunities:

Technical Skill Development: Deepen your expertise in specific areas of the data analytics platform, such as data governance, security, or emerging technologies.
Leadership Development: Develop your leadership skills by taking on additional responsibilities, mentoring other team members, or contributing to company-wide initiatives.
Conference Attendance: Attend industry conferences, workshops, and training sessions to stay up-to-date with the latest trends and best practices in data analytics platform engineering.

📝 Enhancement Note: This role offers significant opportunities for technical and leadership growth, with a strong emphasis on continuous learning and development. The team encourages knowledge sharing and professional development, with regular opportunities for training, workshops, and conference attendance.

💡 Interview Preparation

Technical Questions:

SRE Concepts: Describe your experience with SRE concepts, system monitoring, and infrastructure architecture. Provide examples of how you have applied these concepts in previous roles.
System Design: Walk through a system design exercise, demonstrating your ability to design and implement scalable solutions for the data analytics platform.
Leadership and Management: Discuss your experience leading and growing a team of SRE engineers. Provide examples of how you have driven team performance, culture, and technical growth.

Company & Culture Questions:

ING Hubs Romania: Research the company's history, mission, and values. Be prepared to discuss how your experience and skills align with the company's goals and culture.
Data Analytics Platform: Familiarize yourself with the data analytics platform's architecture, technologies, and use cases. Be prepared to discuss how your experience and skills can contribute to the platform's success.
Team Dynamics: Research the team's structure, dynamics, and culture. Be prepared to discuss how you can contribute to the team's success and growth.

Portfolio Presentation Strategy:

Technical Deep Dive: Highlight your experience with SRE concepts, system monitoring, and infrastructure architecture through relevant projects and case studies.
System Design Exercise: Walk through a system design exercise, demonstrating your ability to design and implement scalable solutions for the data analytics platform.
Leadership and Management: Discuss your experience leading and growing a team of SRE engineers, emphasizing your impact on team performance, culture, and technical growth.

📝 Enhancement Note: The interview process for this role is designed to assess both your technical expertise and your leadership and management skills. Be prepared to discuss your experience with SRE concepts, system monitoring, and infrastructure architecture, as well as your ability to lead and grow a team of SRE engineers.

📌 Application Steps

To apply for this Team Lead SRE | Data Analytics Platform position at ING Hubs Romania:

Customize Your Resume: Tailor your resume to highlight your experience with SRE concepts, system monitoring, and infrastructure architecture. Emphasize your leadership and management skills, as well as your ability to drive team performance, culture, and technical growth.
Prepare for Technical Phone Screen: Brush up on your knowledge of SRE concepts, system monitoring, and infrastructure architecture. Familiarize yourself with the latest trends and best practices in data analytics platform engineering.
Research the Company: Learn about ING Hubs Romania's history, mission, values, and culture. Be prepared to discuss how your experience and skills align with the company's goals and culture.
Prepare for On-site Technical Deep Dive: Review your past projects and case studies, focusing on your experience with SRE concepts, system monitoring, and infrastructure architecture. Prepare for a system design exercise and a leadership and management discussion.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Team Lead SRE | Data Analytics Platform @ING Hubs Romania