Accountabilities:

Lead, mentor, and develop a team of engineers through recruitment, onboarding, regular feedback, performance management, and career development.
Oversee day-to-day engineering execution, including planning, prioritization, delivery, release coordination, and blocker resolution.
Provide hands-on technical leadership through architecture discussions, code reviews, troubleshooting, and contributions to production code.
Guide technical design and architectural decisions while contributing to broader platform strategy and cross-system initiatives.
Translate business and product requirements into actionable engineering plans, balancing roadmap objectives, technical debt, and operational priorities.
Oversee the development and maintenance of backend services, applications, RESTful APIs, database schemas, and integrations.
Coordinate complex technical initiatives across multiple teams, working closely with Product, Operations, QA, Design, and other engineering stakeholders.
Drive improvements in system reliability, scalability, performance, security, observability, and maintainability.
Lead incident response, root cause analysis, and continuous improvement initiatives to strengthen production systems.
Establish and continuously improve engineering standards, including automated testing, CI/CD pipelines, documentation, code quality, and release management.
Promote the effective and responsible use of AI-assisted development tools to enhance productivity, testing, code quality, and engineering workflows.
Define clear engineering objectives and monitor delivery, quality, and reliability metrics to support continuous improvement.
Encourage technical ownership and independent decision-making while balancing hands-on involvement with delegation and mentorship.
Communicate technical decisions, delivery progress, risks, and operational priorities clearly to stakeholders.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline.
At least 6 years of professional software engineering experience, with strong expertise in backend development, system design, and production applications.
At least 2 years of engineering management experience, including direct people management, mentoring, and performance evaluation.
Strong programming experience with Python, Go, or comparable backend languages.
Experience designing and developing RESTful APIs using frameworks such as FastAPI or Gin.
Solid experience with relational databases, preferably PostgreSQL, including database schema design and query optimization.
Proven ability to design, build, and operate highly available, scalable, and reliable software services.
Strong technical judgment and hands-on development capabilities, including production code contributions and complex technical problem-solving.
Excellent communication and collaboration skills, with the ability to explain technical concepts, trade-offs, and risks to both technical and nontechnical audiences.
Demonstrated experience managing engineering delivery, technical priorities, and cross-functional dependencies.
Familiarity with Agile methodologies, including Scrum, Kanban, or similar development frameworks.
Practical experience using AI-assisted software development tools, with an understanding of appropriate validation, quality assurance, and security practices.
Experience with automated testing, Continuous Integration, Git, and modern software development workflows.
Proven ability to support production environments, troubleshoot complex technical issues, and lead incident response.
Experience managing and collaborating with geographically distributed engineering teams.

Nice-to-have qualifications

Experience with event-driven architectures and messaging technologies such as Kafka, RabbitMQ, or other message brokers.
Knowledge of DNS, EPP, RDAP, or other Internet protocols.
Experience modernizing legacy applications, systems, and services.
Background developing and maintaining e-commerce or other transaction-oriented platforms.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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