Software Gigs

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and internal workflows. The role involves implementing end-to-end AI pipelines using AWS services (SageMaker, Lambda, ECS/EKS, S3), building feature engineering workflows in Snowflake, and collaborating with cloud and MLOps teams. Candidates need 3+ years of AI/ML engineering experience with 1–2 years focused on generative AI or LLMs, proficiency in Python and frameworks like PyTorch or Hugging Face Transformers, and hands-on cloud deployment experience. The position requires monitoring model performance, ensuring security and compliance, and supporting AI architecture reviews.

Design and build large-scale multimodal foundation models that integrate high-dimensional biomedical imaging with molecular and language data. You will implement cross-domain data fusion strategies, develop high-performance ML pipelines for petabyte-scale datasets, and collaborate with scientists and engineers to translate biological complexity into scalable, production-ready code. The role requires deep expertise in Computer Vision architectures, distributed training frameworks, and expert Python proficiency. You will contribute through high-impact publications or open-source work and demonstrated ability to handle the noise and sparsity inherent in biological data.

As a Product Software Engineer, you will develop and integrate software for Qualcomm products spanning smartphones, computing devices, automotive infotainment, and IoT systems. You will own software integration tasks including component integration, build automation, version control management, and baseline releases. You will perform sanity testing on-target and in simulation environments, debug failures using tools like JTAG and ADB, automate test scenarios, and collaborate with cross-functional engineering teams on design and code reviews.

Lead Veracyte's Quality Engineering Platform team as Manager of Software Test Automation, defining quality strategy and building scalable automation frameworks that enable product teams to own software quality. Manage a team of SDETs, Automation Engineers, and Quality Platform Engineers to develop self-service testing platforms, reusable automation libraries, and AI-assisted quality tools supporting unit, integration, API, UI, end-to-end, regression, performance, security, and compliance testing. Establish modern engineering practices, quality standards, and reference architectures across the organization while fostering a culture of innovation and continuous improvement. Drive Veracyte's strategy for AI throughout the software testing lifecycle, including automated test generation, regression analysis, defect classification, and synthetic test data creation.

Software Engineer I will research, design, and implement containerized web applications and services for the Department of Defense, with a focus on automating and orchestrating mission-critical systems for the U.S. Navy. Day-to-day work includes developing in Java, Groovy, Kotlin, or front-end frameworks; conducting manual and exploratory testing; maintaining test plans and traceability; and supporting CI/CD pipelines and container orchestration. The role requires a minimum of two years in software development, familiarity with Java or similar OOP languages, comfort in Linux environments, and experience with build tools like Gradle or Maven.

Software Engineer II will research, design, and implement containerized web applications and services for the Department of Defense, with a focus on automating, integrating, and delivering orchestrated systems for Navy warfighters. The role involves developing in Java, Groovy, Kotlin, or front-end frameworks; conducting manual and exploratory testing; maintaining test plans and traceability; and supporting CI/CD pipelines and container orchestration. Requires a minimum of five years of software development experience, familiarity with object-oriented programming languages, comfort with Linux environments, and experience with build tools like Gradle or Maven.

Design, build, and operate cloud-native platform features and services with hands-on engineering focused on Kubernetes, distributed systems, and infrastructure automation. Deliver well-defined work iteratively from implementation through production, contributing to reliability, scalability, and operability through testing, instrumentation, and on-call participation. Collaborate with senior engineers on platform standards while mentoring junior team members. Requires 5+ years of software development experience (or equivalent), production experience with Kubernetes, exposure to at least one major hyperscaler (AWS, Azure, GCP), and proficiency in Go or another systems language.

This role develops and integrates device platforms with cloud management systems for wireless edge and IoT devices across Tier-1 carrier networks. The engineer will build middleware, APIs, and services; implement device management protocols (TR-069, TR-369/USP, SNMP); perform provisioning, telemetry ingestion, and firmware-over-the-air updates; and conduct end-to-end integration testing in lab environments simulating real-world conditions. The position requires proficiency in C/C++, Go, or Python on embedded and Linux systems, strong protocol debugging skills (Wireshark, GDB), and hands-on experience with cellular networking standards, REST/gRPC APIs, and remote device management. Success demands close collaboration across distributed teams, carrier certification support, and the ability to troubleshoot complex hardware-software-network integration issues independently.

Software Engineer II will research, design, and implement technologies for automating, integrating, and delivering containerized web applications and services for the Department of Defense. The role involves designing and sustaining mission-critical software systems for U.S. Navy warfighters, developing in Java, Groovy, Kotlin, and front-end frameworks, and conducting manual and exploratory testing. Responsibilities include developing test plans, maintaining traceability to requirements, and supporting CI/CD pipelines and container orchestration. Requires 5+ years of software development experience, familiarity with OOP languages, comfort with Linux environments, and experience with build tools like Gradle or Maven.

Design, develop, and maintain robust backend APIs and services for Speechify's text-to-speech platform, including public TTS APIs, payment, subscription, auth, and consumption tracking systems. Oversee the full backend API landscape, optimize for performance and maintainability, and collaborate on B2B solutions for enterprise clients. Requires proven TypeScript/Node.js backend development experience, direct GCP expertise, and knowledge of AWS or Azure. Preferred experience with Docker and Kubernetes for high-availability deployments.

Design, implement, and maintain secure DevSecOps automation frameworks and CI/CD pipelines across hybrid infrastructure, cloud, and application platforms. Develop Infrastructure as Code using Terraform, Ansible, ARM/Bicep, PowerShell, and Python to automate provisioning, configuration management, patching, and vulnerability remediation across Windows, Linux, VMware, and Azure environments. Integrate security controls into deployment pipelines including vulnerability scanning, secrets detection, code scanning, and policy enforcement aligned with FFIEC, NCUA, CIS, and NIST standards. Partner across Infrastructure, Security, and Application Development teams to advance DevSecOps practices, container engineering, and secure cloud governance.

Staff-level frontend engineer leading the Identity team to build next-generation authentication systems across MailChimp and QuickBooks. You will architect and develop Kubernetes-based services, design hosted authoring and administrative UIs, mentor engineers, and drive technical decisions across the full SDLC. Requires 8+ years building enterprise cloud-native applications, strong React/JavaScript and Python skills, microservices and API design expertise (REST, GraphQL), and proven leadership in cross-functional environments.

Design and implement software integrations connecting lab automation infrastructure (liquid handlers, plate readers, robotic workstations, analytical instruments) with orchestration layers and digital workflows. Build production-grade Python applications and containerized services using Docker and Kubernetes, deploy CI/CD pipelines, and maintain LIMS integrations. Explore AI-driven decision-making and autonomous orchestration capabilities, staying current with LLM tooling and agent frameworks. Provide technical leadership and mentorship to the automation engineering team while shaping the roadmap for closed-loop autonomous discovery systems.

Own and evolve infrastructure, deployment systems, and cloud environments powering Clinically AI's healthcare AI platform. Design and maintain GCP infrastructure with focus on GKE, Kubernetes, and secure multi-environment deployments; build Infrastructure-as-Code using Terraform and Helm charts; optimize CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response. Work closely with Backend, AI, and Product teams to support scalable infrastructure for services, AI pipelines, and high-throughput workloads.

Lead the design and development of Mailchimp.com's front-end platform, architecting performant, scalable web experiences that drive prospect conversion and business growth. Mentor a team of engineers, mentor technical staff, and serve as the technical subject matter expert for the DotCom team's hosted authoring environment, administrative UIs, and runtime application UI generation. Design and implement secure, reliable services using modern web technologies (JavaScript/React, Python, microservices, GraphQL) while collaborating with product, design, and architecture teams to align technical solutions with business goals. Lead functional requirements gathering, technical specifications, and solve complex programming and design problems across the full software development lifecycle.

Build and maintain AWS cloud infrastructure (EC2, VPCs, security groups, storage) using Infrastructure as Code with CloudFormation. Operate Kubernetes/OpenShift container platforms and manage application lifecycle. Support web application stacks (React, Node.js, PostgreSQL) and implement authentication via OpenID Connect, SAML, and LDAP/AD. Monitor systems using CloudWatch and distributed tracing tools.

Own and evolve the cloud infrastructure, deployment systems, and CI/CD pipelines powering Clinically AI's healthcare platform on GCP. Design and maintain cloud infrastructure using GKE, Terraform, and Helm; build reliable CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response processes. Work closely with Backend, AI, and Product teams to support scalable infrastructure for AI pipelines, real-time processing, and multi-environment deployments. Operate with significant autonomy across cloud-native architecture while optimizing for performance, reliability, cost, and compliance.

Staff Site Reliability Engineer at SHEIN responsible for operating and evolving large-scale, mission-critical production systems with 24/7/365 on-call participation. Design, build, and maintain observability solutions (metrics, logs, traces, alerting) with AI-powered anomaly detection; own and operate core open-source infrastructure (APISIX, Nginx, Kubernetes, Kafka, Elasticsearch, Redis, Consul, Etcd, Zookeeper). Automate operational workflows, reduce incident frequency and MTTR, and provide technical leadership across global engineering teams. Requires strong software engineering skills, deep Linux/networking/distributed systems expertise, and passion for solving problems at scale.

Lead end-to-end development of AI agents and autonomous engineering tools for Teradata's enterprise platform, managing multiple global engineering teams. Shape engineering strategy for agent platforms, LLM gateways, vector stores, observability frameworks, and low-code/no-code/pro-code agent frameworks. Drive architecture standardization, governance practices, operationalization pipelines, and ROI metrics while partnering with product, architecture, and AI platform teams. Requires 12+ years software engineering experience with 5+ years in technical leadership, hands-on expertise with LLMs, agent frameworks, distributed systems, cloud platforms (AWS, Azure, GCP), and modern CI/CD tools.

Build and maintain software tools for automating deployment and testing of compute infrastructure while scaling critical services to support customer growth. Apply test-driven development principles and work toward continuous delivery goals. Research and implement new open-source and commercial tools and technologies. Requires 5+ years of experience (or 3+ with a Master's degree) with strong Python and Linux systems architecture skills, hands-on infrastructure-as-code experience with Terraform, configuration management with Puppet, and understanding of Kubernetes and Docker containerization.

This Staff Platform Engineer role owns operational strategy and technical direction for enterprise GitLab (3,000+ users) and JFrog Artifactory platforms, leading cloud-native transformation and Kubernetes migrations. The position requires 7+ years of enterprise-scale platform operations, 5+ years each with self-managed GitLab and Artifactory in high-availability deployments, and 3+ years of deep Kubernetes expertise. Responsibilities include designing multi-region active-active systems, establishing cloud-native best practices, mentoring team members, and influencing organizational standards for platform engineering and developer experience. Required expertise spans Linux kernel/networking, PostgreSQL high availability, AWS/Azure/GCP, Kubernetes operators, service mesh (Istio), infrastructure-as-code (Terraform), observability (Prometheus), and production automation in Python, Go, and Bash.

This role provides Tier 2 technical support for Windows and Linux systems, network infrastructure, and enterprise applications in a classified DoD environment. The administrator will configure and maintain operating systems, troubleshoot hardware and software issues, support distributed systems (Hadoop, Kafka, HBase/Accumulo, Spark), and utilize automation tools including Bash, PowerShell, Python, Ansible, Puppet, and Terraform. Responsibilities include maintaining compliance with DoD and Intelligence Community security requirements, collaborating with engineering and cybersecurity teams, and documenting technical procedures. An active TS/SCI clearance and DoD 8570/8140 IAT Level I certification are required.

Staff Software Engineer supporting Sony Engagement Platform Services, designing and building secure, scalable full-stack applications with hands-on contributions to both front-end and back-end systems. Responsibilities include architecting RESTful APIs, collaborating with product and design teams, defining data models and database schemas, and mentoring junior engineers. Required experience includes 8+ years with complex codebases, full-stack development, proficiency in Java/Go/Python, REST API design, and modern web technologies (HTML, CSS, JavaScript, React/Angular, TypeScript).