Software Gigs

As Technical Product Manager 2, you will develop and execute product strategy, technical roadmap, and value propositions for custom and standard embedded computing systems. You will translate customer, market, regulatory, and engineering inputs into clear product requirements, system-level specifications, and lifecycle plans. The role requires close collaboration with engineering, sales, marketing, operations, and quality teams to ensure products meet technical requirements, financial objectives, and manufacturability expectations. You will define technical requirements, conduct competitive analysis, support pricing and configuration decisions, manage product lifecycle, and serve as the technical subject matter expert for assigned embedded computing product lines.

Architect responsible for creating detailed plans and drawings using AutoCAD and Revit to outline project design, conducting site evaluations to ensure quality and safety compliance, and overseeing the construction process from conception through completion. The role requires strong organizational and creative skills, knowledge of engineering and materials science, and ability to collaborate with multiple teams on goals, schedules, and budgets. Requires a Bachelor's degree in architecture and 3+ years of construction and architecture experience.

As a Staff Software Engineer in Data Platform Engineering, you will design, build, and operate cloud-native platform components and services, taking features from design through production. You'll lead well-scoped technical projects, collaborate with senior engineers on architecture alignment, and ensure reliability and scalability through testing and instrumentation. You'll spend most of your time hands-on building operators, controllers, automation, and platform services that other teams depend on, while mentoring junior engineers. The role requires 8+ years of software development experience (or equivalent with advanced degrees), 5+ years of hands-on Kubernetes experience, and proficiency with at least one major hyperscaler (AWS, Azure, GCP).

This Quality Assurance Engineer role supports medical device product development and sustaining engineering teams by developing and implementing quality test procedures, test equipment protocols, and sampling plans. The engineer will conduct product investigations, corrective/preventive actions, regulatory submissions support, and statistical analysis of production data—all in compliance with industry standards (ISO 14971), GMP, and regulatory requirements. The role requires 4+ years in medical device/pharmaceutical quality engineering or equivalent advanced degree with 2+ years of relevant experience, with expertise in test method validation, equipment qualification (IQ/OQ/PQ), risk management documentation, and analytical equipment validation.

Design, implement, and maintain secure DevSecOps automation frameworks across on-premise and cloud infrastructure, integrating security controls into CI/CD pipelines for application and configuration deployment. Develop Infrastructure as Code using Terraform, Ansible, ARM/Bicep, PowerShell, Python, and Bash across Windows, Linux, VMware, Azure, and hybrid environments. Automate provisioning, patching, vulnerability remediation, and compliance checks aligned with FFIEC, NCUA, CIS, and NIST standards while partnering with Cybersecurity, Infrastructure, and Application Development teams. Support container/platform engineering, cloud identity governance, and promote DevSecOps and GitOps practices across technology teams.

As an information security risk specialist, you will work with DoD acquisition programs to identify cyber risks, assess threat landscapes, and develop mitigation strategies. You will conduct risk and vulnerability assessments across networks, systems, and applications, translate security concepts for stakeholders, and manage RMF (Risk Management Framework) and A&A (Assessment and Authorization) activities. You need 4+ years of IT systems experience with DoD/government agencies, 3+ years leading Navy RMF projects, and expertise in security policy implementation, compliance assessment, and vulnerability mitigation. A Secret clearance and DoD 8140 Certification are required.

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 Database Engineer will maintain, monitor, and optimize large-scale production MySQL database environments in distributed, mission-critical settings. Responsibilities include performance tuning, query and index optimization, database migrations and upgrades, capacity planning, and 24x7 on-call support. The role requires designing reliable database architectures, automating operational tasks, and collaborating with development teams on database design guidance. Candidates must have strong fundamentals in distributed database topologies, Linux administration, scripting proficiency (Go/Python/Shell), and experience with cloud platforms such as Azure.

Senior Python Backend Engineer building and maintaining Python-based APIs and services in an AWS environment. The role focuses on developing Kafka-based data pipelines, managing data movement across systems, and ensuring reliability and performance of containerized services. You'll need strong production Python experience, familiarity with streaming or message-based systems, and comfort working with AWS and Docker.

This role leads enterprise IT infrastructure and operations for a defense technology company, overseeing networks, cloud environments, endpoints, identity and access management, and end-user services. The Director will develop IT strategy aligned with DoD customer requirements, advise leadership on cybersecurity risk and IT modernization, and ensure compliance with CMMC, NIST SP 800-171, DFARS, and RMF standards. Responsibilities include managing IT governance, disaster recovery, vendor relationships, budgets, and supporting protection of Controlled Unclassified Information through security assessments and incident response. The role requires leading and mentoring IT and DevOps teams managing infrastructure including cloud environments.

Own the complete release and deployment strategy for Elemynt's secure AI infrastructure platform, building systems that ensure every release is versioned, reproducible, observable, and safe to operate across enterprise and scientific computing environments. Design and implement deployment automation, CI/CD pipelines, artifact management, and operational visibility (logs, metrics, alerts) that work reliably in customer-managed and restricted environments. Debug incidents, identify root causes, and systematize fixes into reusable automation. Partner with product and engineering teams to embed deployment readiness into the platform from the start.

Design and own cloud infrastructure foundations, core platform services, and observability systems that enable reliable deployment across customer environments (on-premise, cloud, or hybrid). Build production-grade Kubernetes infrastructure, internal APIs, deployment pipelines, and monitoring/alerting layers using infrastructure-as-code. Instrument service-level objectives and health signals to ensure measurable reliability and reproducible, secure deployments across all environments.

Build and operate the data and ML infrastructure powering an AI platform for materials science, owning both sides: data pipelines that ingest and curate large-scale scientific output into training-ready formats, and model packaging, serving, monitoring, and CI/CD systems that move models safely from research to production across customer environments. You will design data ingestion and transformation workflows, implement validation and quality gates, package and version models with reproducible builds, run models through batch and online inference with safe rollout and rollback, monitor for drift and degradation, and build observability and internal tooling for engineering and science teams. The role requires 6+ years shipping production software with deep expertise in data systems, ML infrastructure, containers, orchestration, and observability.

Design, build, and ship LLM-powered capabilities end to end—from prototyping and fine-tuning models to deploying production agents and retrieval systems. Own the full stack: prompt and context engineering, multi-step agent design with tool calling, RAG systems (embeddings, chunking, hybrid search, reranking), fine-tuning on multi-GPU with LoRA/QLoRA, evaluation and tracing infrastructure, and clean APIs for other engineers. Work in a secure, distributed environment where the platform runs on customer compute, cloud, or hybrid setups, requiring expertise with both commercial and self-hosted models.

As Principal Software Engineer for AI & Data Platform, you will architect the data foundation for scientific and engineering R&D platforms, designing scalable data processing patterns, ML training pipelines, and intelligent workflow interfaces. You will own end-to-end responsibilities including data modeling for multi-use analytics and ML, building production training and fine-tuning pipelines, model evaluation and benchmarking, and setting engineering standards for the team. The role requires 10+ years shipping production software, expert-level Python, deep experience with large-scale data systems (object storage, analytical processing, training formats), hands-on ML pipeline development, and the ability to set technical direction in early-stage environments while implementing it yourself.

Build the foundational agentic AI layer for a materials-science platform, including multi-model provider abstraction, agent orchestration with stateful checkpoints, retrieval systems, prompt versioning, and comprehensive tracing and evaluation frameworks. You'll design agents that plan and reason over tool calls in production, implement human-in-the-loop safety gates, and ensure all LLM behavior remains auditable and cost-tracked across customers' secure environments. The role demands deep production experience with agentic and LLM systems: async Python, structured outputs, memory and context management, multi-step workflow orchestration, and evaluation harnesses that catch regressions before deployment.

The Senior Systems Engineer will design, develop, and support communications and encryption devices, providing technical expertise in cryptographic technologies and deployment strategies. Responsibilities include advising on cryptographic equipment deployment, analyzing emerging threats, conducting technical analysis of cryptographic products for acquisition decisions, liaising with vendors on device lifecycle, and supporting leadership with briefings and fielding decisions. The role requires 5–15 years of cybersecurity, systems engineering, or network security experience, along with strong analytical, problem-solving, and written communication skills. A bachelor's degree in Systems Engineering, Computer Science, or related field is required.

Staff Software Engineer leading the design, architecture, and operations of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. The role involves architecting and evolving streaming and analytics platforms using Apache Flink, Spark, ClickHouse, and Druid; integrating batch and streaming workloads via lakehouse architectures; and embedding AI capabilities to automate engineering workflows and improve platform reliability. You will own critical platform capabilities end-to-end from design through production operations, mentor engineers, establish technical standards, and influence cross-functional technical strategy across PlayStation's data infrastructure.

Lead Network Engineer responsible for directing network integration, system testing, troubleshooting, and documentation across cross-functional teams at a U.S. Navy enterprise scale. Mentor junior network engineers, provide technical guidance on complex issues, and serve as primary technical advisor to government clients on system architecture and solution design. Must have 10+ years configuring and troubleshooting Cisco enterprise infrastructure, including Catalyst Center/SDA, SD-WAN, ISE, routing protocols (OSPF, IS-IS, BGP), and enterprise security technologies. Will drive Software-Defined Access, SDN, Zero Trust, and automation initiatives while holding Secret clearance.

The Business Technology Consultant is an outside sales role responsible for generating new business through proactive prospecting, cold calling, and consultative selling within an assigned territory. The role involves presenting technology solutions, preparing proposals, negotiating contracts, and closing sales while maintaining CRM records and coordinating with internal departments for implementation. Success requires balancing 75%+ field travel, managing a sales pipeline, building customer relationships, and consistently meeting monthly and quarterly sales and gross profit targets.

Network Engineer supporting Navy AT/FP systems worldwide, responsible for engineering, configuring, and sustaining Juniper, Aruba, and Cisco networking equipment across shore facilities and data centers. Role involves end-to-end system lifecycle management including staging, integration, testing, and fielding of networked systems; implementing secure architectures aligned with RMF and STIGs; and conducting vulnerability remediation and compliance validation. Requires active interim Secret clearance with ability to obtain fully adjudicated Secret clearance, Bachelor's degree plus 5 years experience (or HS diploma plus 8 years), DoD 8570/8140 baseline certification (Security+ CE or higher), and hands-on expertise with Juniper Junos OS, Aruba ArubaOS, and Cisco platforms including routing protocols, VLANs, VPNs, and ACLs.

Enterprise Select Implementation Consultant responsible for deploying and adopting Samsara's IoT solutions with large enterprise customers across fleet and industrial asset operations. You will own the full customer lifecycle from onboarding through adoption, serving as the trusted point of contact for strategic accounts spanning transportation, utilities, food and beverage, and manufacturing. The role requires exceptional customer-facing communication, ability to quickly understand customer business needs, and comfort explaining technology to both executives and end users. You will work cross-functionally with Sales, Support, Sales Engineering, and Product teams, with up to 10% travel to customer sites.

The Accounting Systems & Data Integration Analyst supports Axos Bank's Accounting & Finance initiatives, with primary focus on Jack Henry SilverLake, Enterprise Workflow (EWF), and Loan IQ platforms. The role designs, develops, and maintains integrations between banking systems and Finance applications, manages transaction-to-GL mapping, performs data validation and reconciliation, and ensures accounting data integrity across lending, deposit, treasury, and operations. Responsibilities include requirements gathering, interface development, testing, production support, SOX/audit compliance coordination, and leveraging AI tools (Copilot, Claude) to accelerate requirements analysis, testing, and automation. The position requires 10+ years of experience in system integrations and data interfaces within banking or financial services, with strong expertise in Jack Henry platforms, Azure DevOps, ServiceNow, SQL, APIs, and file-based integrations.

Staff Software Engineer leading design and evolution of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. Responsibilities include architecting stream processing pipelines, optimizing data services using Apache Flink, Spark, ClickHouse, and Druid, integrating batch and streaming workloads with lakehouse architectures, and building AI-powered capabilities for platform automation. The role requires deep expertise in distributed systems, real-time analytics, and mentoring engineering teams while establishing technical standards and best practices across the organization.

Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI, C#, XAML, and C++. Define best practices for Windows development, drive accessibility efforts across Microsoft UI Automation frameworks, and take full ownership of feature lifecycles from conception through maintenance. Collaborate with product designers, UX researchers, and QA to shape the Windows platform roadmap. Diagnose and resolve complex bugs, performance bottlenecks, memory leaks, and compatibility issues while mentoring other engineers and conducting code reviews.