Mid Level Backend Engineer

Technology alone does not create impact—the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.

We work as an extension of our clients’ teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.

Why Join Us? If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we’d love to meet you.

As a Mid-Level Backend Engineer, you will directly drive the backend architecture for a cutting-edge conversational property search experience where LLMs orchestrate the user journey. By building scalable microservices, optimising data integrations, and enabling real-time streaming, you will turn complex AI capabilities into seamless, highly reliable consumer interactions.

Your responsibilities include, but are not limited to:

• Develop, maintain, and enhance backend microservices and APIs (REST/gRPC) primarily using TypeScript (Node.js) and Go.
• Implement and optimize event-driven, asynchronous workflows using messaging platforms such as Kafka, SQS, or SNS.
• Manage and tune relational, search, and caching data stores including PostgreSQL/MySQL, OpenSearch, and Redis for maximum performance.
• Deploy, maintain, and monitor containerised applications across AWS and Kubernetes environments.
• Diagnose, debug, and resolve complex backend production issues to ensure system stability and high availability.
• Drive code quality standards across the team through automated unit/integration testing, peer code reviews, and technical documentation.
• Partner with product managers, designers, and cross-functional engineers to translate user needs into practical, high-impact backend solutions.

• 3-6 years of professional software engineering experience with strong focus on backend microservices and API design (REST/gRPC).
• Hands-on expertise with TypeScript (Node.js) for enterprise backend development.
• Solid experience working with relational databases (MySQL/PostgreSQL), search engines (OpenSearch/Elasticsearch), and in-memory caches (Redis).
• Practical experience with AWS cloud services and asynchronous/event-driven architectures (Kafka, SQS, or SNS).
• Demonstrated commitment to software quality through unit/integration testing, debugging, and production support.

• Hands-on exposure to Go or a strong desire to learn and contribute to existing Go services.
• Hands-on experience or exposure to production LLM-powered applications (e.g., function/tool calling, context management, prompt caching).

Candidates must be based in Serbia and able to work UAE hours (GST).

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
• The opportunity to be part of an amazing, multicultural community of tech experts.
• Direct hands-on exposure to modern, production-grade LLM applications and AI orchestration patterns.

Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.

If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.

By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser’s Privacy Notice for recruitment purposes.

Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling.
All hiring decisions are made by people, with human review and oversight.

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Originally posted on Himalayas