Jobs at Sigma Software Group

The Senior Data Engineer will design and build cloud-native data platforms, real-time ingestion pipelines, lakehouse architectures, and AI-ready infrastructure. Responsibilities include modernizing Spark and PySpark workloads, implementing CI/CD and data quality practices, developing self-service tooling and microservices, and ensuring platform reliability and observability. The role also leads technical initiatives involving agentic AI, event-driven systems, LLM-ready pipelines, and cross-functional collaboration with Product, Machine Learning, and Data Science teams.

Learn and apply DevOps practices while supporting the development team with system automation, deployment, and operations tasks. The role involves working with Linux, scripting, networking, web servers, CI/CD tools, cloud platforms, Kubernetes, infrastructure-as-code, configuration management, and Git.

Design and scale secure cloud-native data platforms supporting batch and streaming workloads. Own architecture decisions, data modeling, pipelines, platform modernization, and engineering best practices across AWS, Spark, Databricks, Kafka, Python, and SQL environments. Mentor data engineers, lead onboarding, collaborate with product and business stakeholders, and influence technical roadmaps and enterprise data platform strategy.

Analyze and optimize complex rule-based detection systems, data flows, and signal-processing pipelines. Investigate large datasets, identify redundancy and inefficiencies, evaluate downstream risks, and recommend improvements while preserving detection quality. Collaborate with engineers, data scientists, and security researchers to resolve ambiguous problems and translate findings into actionable recommendations.

Learn Java development through mentorship, build toward a Junior Java Developer level, and work on software projects. Responsibilities include learning technologies, addressing knowledge gaps, communicating blockers, applying feedback, and demonstrating technical progress. The role requires foundational Java, SQL, Spring Boot, REST, testing, Git, build tools, Linux, and English skills, with Docker, AWS, NoSQL, and open-source experience as advantages.

Java Developer Interns learn new technologies, work with mentors, address knowledge gaps, resolve blockers, study recommended materials, and progress toward a Junior Java Developer level. The role requires foundational Java, SQL, Spring Boot, REST, unit testing, Git, build tools, Linux command line, and English skills.

Lead product strategy and roadmap development for scalable AdTech platforms. Translate stakeholder and customer needs into product requirements, user stories, priorities, and measurable KPIs. Coordinate engineering, architecture, design, business, and client success teams while driving discovery, delivery, and executive communication. Monitor industry trends, evaluate feedback, and guide long-term product direction across cloud, Big Data, Machine Learning, and advertising platform integrations.

Lead product strategy and roadmap development for scalable AdTech platforms. Translate stakeholder needs into product vision, requirements, user stories, and priorities; coordinate engineering, architecture, design, client success, and business teams; drive discovery, product delivery, KPI tracking, customer feedback, and executive communication. The role focuses on campaign management, targeting optimization, data processing, machine learning-driven solutions, and advertising ecosystem integrations.

Develop and maintain large-scale C++ desktop applications, focusing on multithreading, concurrency, performance optimization, stability, legacy-system modernization, debugging, and software quality. Collaborate with architects, QA engineers, and product teams while contributing to code reviews and engineering best practices. Use Qt, CEF, Make, Conan, MSVC, and AI-assisted development tools to deliver scalable and reliable solutions.

Develops LLM-powered features and RAG pipelines for intelligent search and knowledge graph platforms. Responsibilities include data ingestion, preprocessing, vector and hybrid retrieval, model evaluation, relevance tuning, production deployment, testing, and end-to-end ownership of AI components.

Develops new business for AI-driven software solutions by identifying prospects, managing the full sales cycle, preparing proposals and tenders, negotiating contracts, and transitioning new accounts to delivery teams. The role builds customer relationships, maintains CRM records, supports revenue growth, attends relevant industry events, and expands professional networks. It requires IT sales experience, AI project expertise, knowledge of software development lifecycles, advanced English and German, and strong negotiation and communication skills.

Develops new business for AI-driven software solutions by identifying prospects, managing the full sales cycle, preparing proposals and tenders, negotiating contracts, and transitioning new accounts to delivery teams. The role builds client relationships, maintains CRM records, supports revenue growth, analyzes market opportunities and events, and collaborates cross-functionally on complex AI proposals.

Build and optimize production machine learning models for real-time programmatic advertising, including bid modeling, win prediction, conversion propensity, look-alike audiences, calibration, counterfactual evaluation, experimentation, and constrained optimization. Analyze large-scale behavioral data, design validation frameworks, support scalable ML platform architecture, and collaborate with customer data science teams on deployment, tuning, documentation, and knowledge transfer.

Design, develop, and maintain scalable Java backend services and internal frameworks for privacy-sensitive, high-load distributed systems. Responsibilities include architecture, implementation, production support, concurrency troubleshooting, authentication and authorization, caching, data storage, integrations, testing, CI/CD, releases, documentation, and stakeholder communication. The role requires end-to-end ownership of reliable, secure, and performant customer-facing services.

Develop and maintain scalable backend microservices and AI-enabled services using TypeScript, Node.js, and AWS serverless technologies. Design LLM integrations, API-first architectures, multi-tenant solutions, and intelligent automation capabilities. Collaborate on reusable libraries, infrastructure patterns, observability, performance, reliability, and technical decisions while supporting the transformation of an AdTech platform into a cloud-native, AI-enabled ecosystem.

Investigate and optimize complex rule-based detection logic, data flows, and enterprise-scale analytics systems. The role conducts exploratory analysis, identifies redundancy and inefficiencies, evaluates downstream risks, and translates findings into recommendations. It requires close collaboration with engineering, data science, and security research teams while working autonomously in an ambiguous, fast-paced environment.

Develop high-performance TypeScript and Node.js backend microservices and AI-enabled services for a scalable AdTech platform. Build AWS serverless solutions, integrate LLM and AI capabilities, design API-first architectures, ensure multi-tenant data isolation, and contribute to reusable engineering patterns, code quality, observability, and platform modernization.

Leads architecture and technical strategy for enterprise Java platforms, including presales, discovery, solution design, estimation, and project startup. Designs scalable microservices and distributed systems, defines technology and infrastructure approaches, presents solutions to customers, establishes engineering standards, reviews architecture and code, resolves complex challenges, and mentors engineering teams during early delivery.

Leads early-stage enterprise Java initiatives by designing scalable architectures, translating business needs into implementation strategies, supporting presales and discovery, preparing estimates and technical proposals, and guiding project launches. Establishes engineering standards, reviews architecture and code, mentors engineers, resolves complex technical challenges, and communicates solutions to customers and stakeholders. The role focuses on secure, cloud-native distributed systems, microservices, integrations, and modernization of legacy platforms.

Lead enterprise Java architecture and development for secure, large-scale public-sector platforms. Responsibilities include presales, discovery, technical workshops, solution design, estimations, architecture definition, and project launch support. The role establishes engineering standards, guides teams, conducts architecture and code reviews, resolves complex technical challenges, mentors engineers, and communicates solutions to customers and stakeholders.