Lead and manage a squad of frontend and backend engineers to achieve sprint goals and deliver project milestones.

Facilitate Agile ceremonies (sprint planning, daily stand-ups, sprint reviews, and retrospectives) to ensure process consistency and team alignment.

Translate business requirements and technical directions into clear, actionable tasks for the team.

Ensure high code quality through structured code reviews, mentoring, and enforcement of engineering best practices.

Identify and resolve technical blockers, dependencies, and workflow inefficiencies to maintain team productivity.

Monitor and report squad performance, progress, and risks to the Engineering Manager / Tech Lead.

Mentor squad members to support technical growth, problem-solving capabilities, and cross-functional knowledge sharing.

Foster a collaborative, accountable, and continuously improving team culture.

Collaborate with other squads, QA, DevOps, the Product Team, and stakeholders to ensure smooth delivery and system integration.

Create and maintain technical documentation for planning purposes, serving as a guideline for both frontend and backend engineers during project execution.

achelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.

Minimum 4 years of experience in software development, including at least 1 year in a technical leadership or squad lead role.

Strong understanding of the Software Development Life Cycle (SDLC), Agile methodologies, and version control systems such as Git.

Hands-on experience with automated testing frameworks, CI/CD pipelines, and code quality tools (e.g., SonarQube, ESLint).

Proven ability to lead small teams with a focus on collaboration, ownership, and delivery excellence.

Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders.

Excellent analytical skills and a proactive, solution-oriented mindset.

Comfortable working in a dynamic, fast-paced environment with evolving priorities and deadlines.

Familiarity with microservices and event-driven architecture.

Experience with technologies such as MongoDB, Redis, and RabbitMQ.

Knowledge of instrumentation and observability tools such as OpenTelemetry, Elastic APM, etc.

Familiarity with full-stack development languages such as Go (Golang), JavaScript, or TypeScript.