Software Gigs

Own end-to-end demand forecasting and capacity planning for AI systems, compute, storage, GPU, and emulation across a global engineering organization spanning tens of thousands of servers and hundreds of petabytes of storage. Translate silicon product roadmaps and tapeout schedules into multi-year demand plans, size and justify capital purchases into the hundreds of millions of dollars, and present capacity positions to engineering and finance leadership. Build and maintain forecasting models, decision rules, and utilization analytics; apply AI and automation to move beyond manual spreadsheet work. Lead and mentor a team of analysts, raising their craft and setting analytical direction.

Manage multiple small-to-medium projects end-to-end, owning scope, planning, budgets, timelines, risks, and deliverables while coordinating cross-functional teams and stakeholders. Drive process improvement initiatives by analyzing business processes, identifying inefficiencies, developing process flows, and recommending technology solutions. Build business cases, monitor KPIs and project performance metrics, and support requirements management, documentation, and status reporting. Preferred experience includes Microsoft Power Platform (Power Apps, Power Automate, Power BI), Smartsheet, PMP certification, and Lean Six Sigma.

The Maximo Business Analyst & Reporting Analyst supports and optimizes IBM Maximo solutions by analyzing business requirements, developing enterprise reports and dashboards, and driving user adoption through training. The role requires designing, developing, and maintaining reporting solutions using BIRT, Cognos, Power BI, and MAS Reporting; supporting asset management, maintenance, inventory, and procurement functions; and providing functional support and troubleshooting. Key responsibilities include gathering stakeholder requirements, creating operational and executive reporting solutions, leading Maximo 2.0 training initiatives, and collaborating on system enhancements and testing activities.

The MMIS Developer – Supply Chain designs and develops supply chain software systems, translating business requirements into technical solutions. Responsibilities include leading development projects, maintaining critical analytics and databases, troubleshooting system issues, and creating reports. The role requires proficiency with VBA, SQL Server, and business intelligence tools like Power BI, with preferred experience in Lawson, Epic, Python, and Snowflake for supply chain analytics.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, integration patterns, and architectural standards for the Data Lake, Data Warehouse, ODS, and cloud platforms while ensuring security, resilience, and high performance. Working closely with engineering, analytics, and business teams, the architect provides technical guidance on modern data systems, governance frameworks, and ETL/ELT pipelines. The position combines strategic vision with practical experience optimizing structured, semi-structured, and unstructured workloads across SQL, NoSQL, and cloud-native systems.

Senior SysAdmin to administer and optimize Shield AI's Atlassian Cloud ecosystem (Jira Software, Jira Service Management, Confluence). Responsibilities include designing workflows and automation rules, developing REST API integrations and webhooks, managing enterprise system integrations (DevOps toolchains, CI/CD, identity providers), administering Atlassian Access, and building advanced dashboards and JQL queries. Requires 3+ years Atlassian administration experience, strong hands-on Cloud expertise, proven REST API and automation frameworks knowledge (ScriptRunner), and advanced JQL and reporting skills.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, cloud-native integration patterns, and architectural standards supporting analytics, reporting, and digital banking applications. This position combines strategic architectural vision with practical expertise in designing, implementing, and optimizing modern data systems across structured, semi-structured, and unstructured workloads. The architect provides technical leadership to Data Engineers and cross-functional teams while ensuring secure, resilient, and high-performing data environments.

This role provides IT risk management and cybersecurity oversight for a large, multi-location enterprise environment. Key responsibilities include triaging security alerts and IOCs, conducting IT security audits (network, OS, data center), administering Microsoft 365 Defender for Cloud and endpoint protection platforms, managing vulnerability assessments, and assisting with cloud migrations to Azure and Microsoft 365 services. The role requires 5+ years of IT experience in large environments, IT audit experience, Security+ or Cloud+ certification, and hands-on administration of Active Directory, SIEM tools, and service-desk ticketing systems.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization. Create digital lab infrastructure including IoT integrations, digital lab twins, and telemetry monitoring. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience, or equivalent education with more experience; strong proficiency in Python, SQL, JavaScript, and DevOps practices; and familiarity with lab data platforms and autonomous systems.

As a client-facing data analyst, you'll work with Department of the Navy clients to understand their data needs, transform complex structured and unstructured data into actionable insights, and advise on how findings impact DoD acquisition programs and IT modernization. You'll use tools like Tableau, Python, R, or SQL for data manipulation; Databricks or Spark for data engineering; and Power Apps/Power Automate for automation. You must hold or be able to obtain a Secret clearance and have 4+ years of DoD client experience.

Design and develop advanced Power BI dashboards using DAX, Power Query, and complex data modeling techniques. Consolidate and transform data from APIs, files, and SQL databases into reliable reporting models using ETL workflows with SSIS and T-SQL. Build scalable reporting solutions and partner with business users to translate requirements into technical implementations in a fast-paced, multi-project environment. Requires 3+ years of hands-on experience with DAX, Power Query, T-SQL, SSIS, and strong SQL development skills including stored procedures and query optimization.

The Mid-Level Power Platform Developer will design, build, and enhance enterprise solutions using Microsoft Power Apps (Canvas and Model-Driven), Power Automate, and Dataverse. Responsibilities include developing automated workflows, optimizing data models, integrating with external systems via custom connectors and REST APIs, and ensuring solutions meet enterprise governance and security standards. The role requires 2–5 years of Power Platform experience, proficiency in app development and cloud flows, strong Dataverse knowledge, and familiarity with solution packaging and ALM concepts.

Design, build, and maintain enterprise data pipelines using Microsoft Fabric and Azure Synapse, handling ingestion, transformation, and orchestration from ERP and supply chain systems. Develop and manage Fabric Lakehouse and Warehouse architectures, apply data modeling best practices, and ensure data quality and reliability. Collaborate with analytics, BI, and IT teams to create governed, scalable analytical data assets that support Power BI and downstream consumers. Requires a bachelor's degree in a quantitative field, strong SQL and Python skills, and hands-on experience with Microsoft Fabric and Azure Synapse.

Join Brandes Investment Partners' Software Engineering team to design, develop, and support business applications throughout the full SDLC. You'll collaborate with teammates and business users to build web applications, APIs, integrations, and data-driven solutions using C#/.NET, SQL Server, and modern web frameworks like Blazor. Responsibilities include developing and enhancing applications, maintaining production systems, troubleshooting issues, and identifying process improvements. The role requires a bachelor's degree or relevant technical certification and professional software development experience appropriate to the level.

Join Brandes Investment Partners' Software Engineering team to design, develop, and support business applications using modern Microsoft technologies. You'll participate in the full SDLC—from requirements analysis through production support—collaborating with teammates and business users to deliver web applications, APIs, integrations, and data-driven solutions. Core technical skills include C#/.NET, SQL Server, Blazor, REST APIs, Entity Framework Core, and Git; helpful experience includes Azure DevOps, CI/CD pipelines, GitHub Copilot, Power BI, and cloud-based application development.