Jobs at Sigma Software Group

Manage strategic customer relationships for an AdTech IT services business. Responsibilities include account growth, upselling, contract negotiations, customer satisfaction, risk mitigation, account planning, and coordinating delivery teams to align expectations with operational capabilities. The role serves as the primary customer contact and supports long-term partnership development across international accounts.

Develop embedded software and hardware drivers for smart beverage IoT devices. Responsibilities include firmware, touchscreen interfaces, sensor and actuator control, secure HTTPS OTA updates, networking, debugging, testing on real hardware, documentation, and QA support. The role requires C/C++ development on STM32 and ARM Cortex-M platforms, RTOS experience, embedded communications, bootloaders, cybersecurity practices, and collaboration across engineering and customer teams.

Own and evolve a high-throughput edge proxy handling video advertising traffic. Responsibilities include designing scalable backend systems, supporting client integrations, monitoring and optimizing performance, improving observability, maintaining reliability and low latency, managing deployments and production support, and collaborating on architecture and custom features.

Designs and maintains scalable cloud-native data platforms and distributed pipelines using Databricks, Spark, AWS, and Azure. The role focuses on data modeling, quality, lineage, governance, monitoring, performance optimization, CI/CD, infrastructure automation, and reliable support for scientific research, analytics, and machine learning workflows. Collaboration with scientists and engineers is central to translating research requirements into production data solutions.

Design and scale cloud-native data platforms for a fusion energy company. Build near-real-time event-driven pipelines, optimize Spark and PySpark workloads, establish lakehouse standards, and improve data quality, observability, testing, and CI/CD. Develop self-service tooling and microservices, drive AI adoption, manage infrastructure costs, and collaborate with scientific and engineering teams using Databricks and AWS.

Business Analyst responsible for eliciting and analyzing requirements, facilitating workshops and discovery sessions, supporting presales, defining project scope, and maintaining user stories, use cases, and acceptance criteria. The role collaborates with customers, engineering, QA, design, product, and project teams throughout delivery. Additional responsibilities include estimation support, backlog refinement, release planning, UAT, requirements traceability, change management, and identifying risks, gaps, and dependencies.

Design and scale cloud-native data platforms for a fusion energy company. Build near-real-time event-driven pipelines, modernize Spark and PySpark workloads, establish lakehouse standards and data contracts, and improve testing, CI/CD, observability, reliability, and cost efficiency. The role also develops self-service tooling and microservices, supports AI and agentic workflows, and collaborates with scientific and engineering teams using Databricks and AWS.

Lead business analysis across discovery, presales, and software delivery. Elicit and manage requirements, facilitate stakeholder workshops, define user stories and acceptance criteria, support estimation and scope prioritization, and maintain traceability and change management. Collaborate with engineering, QA, design, product, and project teams on backlog refinement, release planning, and UAT. Identify risks and dependencies, clarify ambiguous needs, and document solutions using Jira, Confluence, and related tools.

Provide Tier 2 technical support to cybersecurity platform customers, analyze traffic and logs using Elasticsearch, Kibana, BigQuery, and SQL, investigate threats and false detections, produce incident reports, and collaborate with research and engineering teams to improve cyberattack detection and mitigation.

Coordinates project delivery by maintaining documentation, schedules, reports, meetings, and action items. Supports team performance, recruitment, people management, stakeholder communication, workshops, and vendor collaboration. Contributes to process improvement and project management best practices while working closely with program and resource managers.

Analyze complex rule-based detection logic, data flows, processing pipelines, and large datasets. Identify redundancy and inefficiencies, propose optimizations, assess downstream risks, and translate findings into recommendations. Collaborate with engineers, data scientists, and security researchers while independently investigating ambiguous problems in a fast-paced cybersecurity product environment.

Coordinate software delivery for an enterprise project in a complex network and infrastructure environment. Responsibilities include planning activities, milestones, budgets, risks, dependencies, and resources; documenting requirements; removing delivery blockers; managing stakeholder expectations; maintaining project reporting; and supporting team development. The role requires collaboration with multinational engineering and business teams, understanding technical requirements, and applying modern software and AI practices to improve delivery.

Coordinate software delivery for an enterprise network and infrastructure project. Responsibilities include planning activities, milestones, budgets, risks, dependencies, and resources; documenting requirements; removing delivery blockers; managing stakeholder expectations; maintaining project reporting; and supporting team development. The role requires collaboration with multinational engineering and business teams in a complex technical environment, with familiarity in modern software development, AI practices, and preferably Java or cloud-based projects.

Design and implement scalable Databricks Lakehouse architectures while migrating an enterprise analytics platform from BigQuery. Develop and optimize PySpark and SQL pipelines, Delta Lake medallion layers, incremental processing frameworks, and reusable platform components. Apply Unity Catalog governance, monitor and optimize Spark workloads, support CI/CD and production deployments, and collaborate with international data, analytics, product, and engineering teams on architecture and modernization initiatives.

Manage embedded systems and IoT projects from planning through delivery, ensuring timelines, budgets, quality, risk management, and stakeholder transparency. Lead multicultural cross-functional teams, manage customer relationships, support account growth, oversee hiring and people development, improve delivery processes, and promote AI adoption across projects. The role requires strong project management, leadership, communication, negotiation, and customer-facing skills in an international environment.

Build and scale reliable cloud-native infrastructure for an AI-driven biotech platform. Responsibilities include defining SLOs and SLIs, managing CI/CD and Infrastructure as Code, implementing observability, automating operations, leading incident response, supporting security and compliance, and improving platform scalability, resilience, and availability.

Own requirements management and product decisions for a web-based customization platform. Act as a Proxy Product Owner, manage backlogs, facilitate refinement, define user stories and acceptance criteria, align business needs with technical implementation, support Agile ceremonies and product demos, and resolve requirements gaps, risks, and dependencies. The role requires close Customer collaboration, stakeholder facilitation, technical understanding of integrations and web architecture, and use of AI-assisted delivery practices.

Own requirements management and product analysis for a web-based product customization platform. Act as a Proxy Product Owner, collaborate with customers and engineering teams, manage backlogs, define user stories and acceptance criteria, facilitate Agile ceremonies, resolve requirements gaps and dependencies, support prioritization and product decisions, and incorporate customer feedback. The role also involves aligning business needs with technical implementation and applying AI-assisted approaches to analysis and documentation.

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.

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.