Jobs at Sigma Software Group

Senior Business Analyst responsible for gathering and prioritizing requirements, analyzing financial and operational workflows, documenting user stories and specifications, and supporting Agile delivery. The role collaborates with business and technical stakeholders, facilitates backlog refinement, validates data using SQL, supports system integrations, conducts demos, and prepares user documentation. The analyst will also apply AI-powered tools and prompting techniques to improve documentation, analysis, process optimization, and product delivery workflows.

Participate in a 1–1.5-month online, part-time instructional design internship covering learning needs analysis, learning objectives, course structure, authoring tools, assessments, multimedia elements, and learning outcome evaluation. Successful participants may join Sigma Software’s L&D team as individual interns. The program requires strong English, analytical thinking, communication, initiative, organization, and interest in e-learning or adult education.

Support customer implementations and production deployments of AI-powered engagement solutions. Manage configuration and operational requests, coordinate Customer Success and engineering teams, track milestones, document requirements and changes, troubleshoot issues, support testing and validation, and maintain responsive customer communication. The role also contributes to process improvements and quality service delivery across distributed international teams.

Build and maintain production-grade ML platform infrastructure, including training orchestration, model lifecycle automation, multi-tenant environments, deployment workflows, observability, drift monitoring, reproducibility, cost tracking, and CI/CD automation. Collaborate with DevOps and SRE teams while documenting operational processes and supporting platform handover.

Build and maintain large-scale data infrastructure for a real-time AdTech platform. Responsibilities include developing streaming and batch ingestion pipelines, feature tables, labeling systems, experimentation infrastructure, data-serving flows, quality frameworks, historical backfills, and privacy controls. The role requires production-grade SQL and Python engineering, Spark-based processing, cloud data warehouse expertise, point-in-time correctness, and collaboration on platform architecture and operational reliability.

Designs and operates production-grade machine learning and LLM systems for media-data recognition and entity matching. Responsibilities include prompt versioning, evaluation pipelines, schema-constrained extraction, confidence scoring, retrieval optimization, drift monitoring, cost and latency optimization, and continuous learning from human corrections. The role collaborates with data engineering and customer stakeholders to improve automation quality, operational reliability, and model performance at scale.

Build and deliver scalable FinTech features using C#, .NET Core, and Angular. Own development from requirements through AWS deployment, write automated tests, monitor cloud-native services, resolve production incidents, and collaborate in Agile teams. The role emphasizes clean code, system design, DevOps, security, performance, availability, and reliable embedded finance solutions.

Develop and optimize production machine learning models for real-time programmatic advertising, including bid optimization, win probability, conversion propensity, look-alike audiences, calibration, counterfactual evaluation, and constrained optimization. Build scalable evaluation and experimentation frameworks, diagnose data and model performance, contribute to ML architecture, and collaborate with customer data science teams on deployment, tuning, documentation, and knowledge transfer.

Lead Sigma Software’s Albanian office by building the local brand and network, identifying recruiting and business opportunities, retaining and developing employees, monitoring engagement, coordinating with senior management, improving customer experience, and ensuring regulatory and ethical compliance.

Lead architecture and development of a scalable enterprise data platform for a high-volume AdTech environment. Design Iceberg-based event flows, canonical data models, batch and near-real-time pipelines, data contracts, governance, observability, quality, lineage, tenant isolation, and deployment standards. Evaluate platform technologies, optimize performance and costs, mentor engineers, and partner with leadership to deliver production-ready analytics, operational, and AI data capabilities.

Lead architecture and technical standards for a greenfield, enterprise-scale data platform supporting analytics, operational products, and AI workloads. Design Iceberg-based event flows, canonical data models, batch and near-real-time pipelines, governance, data quality, observability, tenant isolation, and regional data strategies. Evaluate platform technologies, optimize performance and costs, mentor engineers, and collaborate with leadership and platform teams to deliver a production-ready foundation.

Design, develop, and optimize scalable, fault-tolerant distributed backend systems for a high-traffic e-commerce platform. Build APIs and event-driven solutions, troubleshoot production issues, implement comprehensive testing, improve CI/CD and deployment processes, and contribute to architecture and engineering best practices. Collaborate with cross-functional teams to maintain system reliability, availability, and performance.

Build and operate production-grade ML platforms for large-scale ad-tech systems. Responsibilities include training orchestration, model registry and lifecycle automation, multi-tenant environments, deployment strategies, ML observability, reproducibility, cost monitoring, CI/CD collaboration, infrastructure automation, and operational documentation. The role requires strong Python, Kubernetes, cloud, ML platform, and infrastructure-as-code experience.

Lead compliance projects, audits, risk assessments, policy development, corrective actions, training, and awareness initiatives across information security standards and regulations.

Leads a portfolio of complex government and enterprise software projects from planning through delivery. Responsibilities include managing scope, timelines, budgets, teams, risks, documentation, resources, customer expectations, and stakeholder communications. The role also launches new initiatives, selects appropriate Agile, Scrum, Waterfall, or hybrid methodologies, resolves conflicts, supports business development, and ensures delivery transparency across multiple projects.

Provides legal support across multiple jurisdictions, investment activities, commercial agreements, NDAs, intellectual property, and personal data matters. Drafts and reviews contracts, supports Sales and other departments during negotiations and approvals, and evaluates legal and business risks. Requires a law degree, at least five years of relevant experience, commercial and civil law expertise, IP knowledge, and upper-intermediate English proficiency.

Build and maintain scalable ETL/ELT pipelines, real-time Kafka streaming applications, Snowflake data solutions, and cloud-native AWS architectures. Optimize high-volume data processing, ensure data quality and reliability, troubleshoot production pipelines, and collaborate with cross-functional teams on business-critical e-commerce data initiatives.

Develop scalable full-stack e-commerce applications using Python and React. Build backend services, microservices, REST and GraphQL APIs, event-driven systems, and responsive frontend features. Design distributed systems for high reliability, low latency, and substantial data volumes. Write comprehensive tests, optimize performance, troubleshoot production incidents, and contribute to architecture and technical decisions while collaborating with distributed cross-functional teams.

Designs and oversees scalable AdTech platforms, including SSPs, DSP integrations, RTB pipelines, identity frameworks, analytics systems, and auction engines. Leads architecture decisions, discovery, solution scoping, pre-sales, technical estimates, performance optimization, governance, and implementation quality. Requires expertise in distributed systems, low-latency cloud platforms, containerization, orchestration, and AdTech standards. The role also mentors engineers and collaborates with technical and business stakeholders.

Four-month online, part-time finance internship involving audit, tax risk and transfer pricing, financial reporting and analytics, corporate expense management, international accounting, and Ukrainian accounting. Interns work across multiple business models and jurisdictions, develop practical finance skills, and may receive an offer for a junior financial manager or accountant position.