Middle Software Engineer – AI Voice Systems, Python/TypeScript

Sigma Software Group

Middle Software Engineer focused on developing AI voice systems using Python and TypeScript. Work on backend services and customer integrations in a dynamic, low-bureaucracy team.

Posted 5/12/2026full-timeRemote • 🇺🇦 UkraineMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Distributed SystemsDockerKubernetesMongoDBPostgresPythonRabbitMQRedisTypeScript

About the role

Key responsibilities & impact

Develop and maintain services ensuring clean, testable, well-documented code
Build and improve APIs and services orchestrating agent workflows across LLM/TTS/STT vendors
Implement resilient patterns for external provider calls (retries, timeouts, fallbacks, rate limits, circuit breaking)
Integrate with CRMs and telecom providers, enabling bi-directional sync and workflow triggers
Maintain internal abstractions/adapters for consistent and extensible integrations
Work with MongoDB and Aurora for data storage and relational guarantees
Use RabbitMQ for asynchronous workflows and Redis for caching and ephemeral state
Participate in migration planning from Docker + ECS to Kubernetes
Contribute to CI/CD improvements, deployment safety, and observability
Engage in incident response and operational reliability improvements

Requirements

What you’ll need

3+ years of backend engineering experience with hands-on ownership of production services
Strong proficiency in Python
Good understanding of backend engineering fundamentals: APIs, data modeling, and basic distributed systems concepts
Willingness to work with TypeScript or eagerness to learn it
Experience with Docker and containerized services
Practical experience with MongoDB or a relational database such as PostgreSQL / Aurora
Understanding of basic schema design and query optimization
Familiarity with messaging systems such as RabbitMQ or similar tools
Experience with Redis for caching, rate limiting, or ephemeral state
Strong debugging skills
Interest in operational topics: logging, monitoring, service reliability
Proactive communication and ability to take a well-scoped problem and drive it to completion
Ability to work in a small team with direct customer communication
Experience with real-time systems: telephony, WebSockets, streaming, low-latency pipelines will be a plus
Familiarity with vendor orchestration patterns: fallback routing, provider selection
Any Kubernetes experience, even in dev/staging environments
Exposure to security/compliance concepts: SOC 2, secrets management, audit trails
Experience with AI/LLM, TTS/STT, or voice-related systems

Benefits

Comp & perks

Flexible work arrangements

ATS Keywords

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Hard Skills & Tools

PythonTypeScriptDockerKubernetesMongoDBAuroraPostgreSQLRabbitMQRedisAPIs

Soft Skills

proactive communicationdebugging skillsproblem-solvingteam collaborationcustomer communicationoperational reliabilityincident responsedrive to completionadaptabilitywillingness to learn