software-development jobs in San Diego

Senior Network Engineer supporting mission-critical defense network environments at NIWC Pacific. Responsibilities include engineering, integration, testing, and maintenance of complex Combined Test Bed (CTB) network infrastructure, with emphasis on security, STIG compliance, and multi-cloud connectivity.…See more Required skills span enterprise routing/switching, firewall management, cloud networking across AWS and Azure, and network security technologies including Zero-Trust architectures. Must hold or be able to obtain Active Secret clearance and possess DoD 8570 IAT Level II and networking certifications.

Senior Firmware Engineer role focused on developing and optimizing low-level embedded software in C++ for flight-critical avionics and unmanned aerial systems (UAS). You will port frameworks to new RTOSes and hardware platforms, create Board Support Packages and Hardware Abstraction Layers for ARM Cortex-M architectures, develop peripheral drivers (I2C, SPI, UART, ADC, wireless), and conduct unit/integration testing including MISRA C compliance checks.…See more You'll diagnose cross-domain issues across electromechanical, software, networking, and RF subsystems, and translate mission requirements into technical specifications and test documentation.

Senior embedded software engineer role developing mission-critical firmware for Amazon's Leo satellite constellation. Responsibilities include architecting ASIC firmware, RF communication subsystems, secure boot operations, real-time embedded software, and hardware interfaces using protocols like I2C, SPI, UART, and Ethernet.…See more The role requires security-by-design principles, threat modeling, secure coding practices, and collaboration with hardware architects and systems engineers to bring custom silicon from concept through secure bring-up and production integration.

Design and build software to automate RF hardware test systems for satellite components before flight, including test infrastructure, CI/CD automation, and production-scale testing orchestration. Write Python on Linux test racks to measure satellite modem, amplifier, and RF component performance against pass/fail thresholds, translating hardware engineer requirements into reliable automated test logic.…See more Support manufacturing validation, on-orbit failure analysis, and enable factory operators to run environmental stress testing at scale. Own software quality, release processes, and work with SCPI-controlled test instruments, thermal chambers, and telemetry dashboards that drive ship/no-ship decisions.

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.…See more 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.…See more 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.…See more 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.

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.…See more 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.…See more You'll need strong production Python experience, familiarity with streaming or message-based systems, and comfort working with AWS and Docker.

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.…See more 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.…See more 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.…See more 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.…See more 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.…See more 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.…See more 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.…See more 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.…See more 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.

S. Navy enterprise scale.…See more ponsible 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.

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.…See more 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.…See more 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.

Field/Base Network Engineer managing large technical teams and Navy-Marine Corps Intranet (NMCI) operations under the SMIT contract. Responsibilities include BAN/LAN/WAN network operations, troubleshooting, repair, installation, cabling, configuration, and COMSEC support; managing incident response, change management, and problem management initiatives.…See more Requires extensive operations/engineering leadership experience, working knowledge of large DoD enterprise network environments, and hands-on technical background in network architectures, fault diagnosis, and ITSM/DevSecOps. Physical role involving equipment installation, rack mounting, confined-space work, and site-based troubleshooting across multiple locations.

Network Engineer IV supporting Naval Information Warfare Center Pacific to engineer, configure, and sustain mission-critical networked systems for public safety ashore programs. You will design and deploy advanced network architectures using Cisco, Aruba, Juniper, and other platforms; implement security controls aligned with RMF and STIGs; and support end-to-end system lifecycle from integration through fielding and sustainment.…See more Requires DoD Secret clearance, CCNA/Juniper JNCIA or higher, Security+ CE minimum, 8+ years DoD/enterprise network engineering experience, and hands-on expertise with switching, routing, wireless, VPNs, and firewall technologies.

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.…See more 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.

Join Axos Bank's Application Developer Rotational Program as a full-time developer gaining exposure across front-end and back-end technologies. NET; design low-code platform solutions; and work with document management and OCR systems.…See more th .NET; design low-code platform solutions; and work with document management and OCR systems. The role requires a bachelor's degree in IT, Computer Science, or related field with 1+ years of experience, and familiarity with Java, C#, SQL Server, APIs, and object-oriented programming.

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.…See more 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.