Software Gigs

Staff Software Engineer role designing and implementing cloud-native platform components and services, with primary focus on Kubernetes workloads, distributed systems, and infrastructure automation. Requires 5+ years hands-on Kubernetes experience, proficiency in Go or systems languages, and demonstrated expertise building operators, controllers, and platform services. Will lead well-scoped projects from design through production, contribute to reliability and scalability, mentor junior engineers, and participate in on-call operations.

Senior Site Reliability Engineer responsible for designing and implementing Infrastructure as Code solutions, managing containerized and serverless architectures, and driving automation to reduce operational toil across large-scale production systems. The role requires defining Service Level Objectives (SLOs), leading incident response efforts, implementing monitoring and logging systems, and collaborating with development teams to ensure reliability and scalability. Requires 5+ years of SRE or cloud engineering experience with deep expertise in Terraform, CloudFormation, Docker, Kubernetes, CI/CD pipelines, and cloud security practices. Must be a US citizen eligible to obtain and maintain an active Secret security clearance or above.

Sr. Director role overseeing SIE's data and AI platform ecosystem, including data infrastructure (streaming, ingestion, warehouse), experimentation platforms, and governance tools. Responsible for defining long-term vision, leading global engineering teams, and ensuring platforms process massive data volumes to deliver insights across gaming, content creation, and enterprise operations. Must drive scalability, cost efficiency, security, and operational excellence while collaborating with senior leadership to align platform strategy with business objectives. Requires proven Sr. Director-level experience and thought leadership in platform architecture, real-time data processing, and ML/AI integration.

Design and implement Infrastructure as Code to automate provisioning, monitoring, and lifecycle management of NoSQL, Streaming, and Caching platforms (Cassandra, Aerospike, Kafka, Redis) across AWS and GCP. Build highly available, self-healing systems with automated failover and scaling, develop comprehensive observability solutions, and lead incident response for critical data platform issues. Drive automation-first practices and apply AI/ML approaches such as anomaly detection and predictive scaling to enhance reliability and reduce manual toil. Partner with engineering and platform teams to ensure resilient infrastructure supporting billions of transactions and millions of players globally.

As a SW Test Development Engineer 2, you will design and build automation tools and frameworks to test Dexcom's continuous glucose monitoring devices and mobile apps (iOS/Android). You will develop in Python or Java to create testing APIs, integrate tools like Jira, Testrail, Slack, and GitHub, and manage end-to-end test suites in CI/CD pipelines. The role requires 2–3 years of software development experience with object-oriented languages, hands-on familiarity with cloud platforms (AWS/GCP), containerization (Docker), and embedded/mobile device automation.

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).

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.

Ignite Digital seeks an AI Engineer to own the end-to-end machine learning lifecycle—from data preparation and model training through production deployment and monitoring. You will integrate AI models into frontend and backend systems, optimize performance for latency and cost, and collaborate with technical leads and customers to deliver Data and AI solutions. The role requires strong Python and cloud platform expertise (AWS, Azure, or GCP), software engineering fundamentals, and the ability to communicate technical opportunities and limitations across varying levels of technical experience.

Senior Cloud Engineer to design, deploy, and maintain scalable cloud infrastructure and services across development, testing, and production environments. Responsibilities include developing infrastructure as code (Terraform, CloudFormation), building CI/CD pipelines, managing cloud security and access controls, automating operational processes, and troubleshooting complex infrastructure issues. Requires 5+ years of cloud engineering or DevOps experience, hands-on expertise with AWS/Azure/GCP, and proficiency with Linux, scripting languages (Python, Bash, PowerShell), Docker, and Kubernetes.

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.

Senior Network Engineer with 8+ years of experience designing, implementing, and managing cloud networking solutions across AWS and Azure, including VPCs, hybrid connectivity, and cloud-native security controls. The role involves hands-on enterprise network infrastructure work with Cisco, Meraki, and Palo Alto technologies, along with network automation using Python and Ansible. Responsibilities include troubleshooting complex network and security issues, optimizing performance using monitoring tools like ThousandEyes and Splunk, and managing identity/access controls via Cisco ISE.

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.

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.

Senior AI Software Developer who will design, implement, and integrate AI/LLM-enabled solutions and automation for Navy cybersecurity and mission workflows. You'll work in small, multidisciplinary teams translating mission requirements into technical approaches, delivering hands-on code (Python, APIs, data integration), and ensuring solutions align with RMF, security controls, and compliance boundaries. The role blends advisory conversations with focused implementation of secure, deployable systems that reduce cyber risk and improve operational efficiency. Success requires 4+ years of software development or integration experience, Python proficiency, API and data store expertise, cloud or enterprise deployment knowledge, and ability to communicate across technical and non-technical stakeholders.

This role blends software development and sales leadership for a newly founded mobile-first CRM startup. The developer will work with Flutter, Firebase, and GCP to build and scale SaaS applications while also driving sales, account management, and business development. Key responsibilities include full-stack application development (iOS/Android deployment), collaborating with product and design teams in an Agile environment, and providing input on product features. The ideal candidate has 3+ years of experience, strong debugging and performance optimization skills, and proven ability to meet sales targets and lead teams.

This role owns the day-to-day operation of a compliance program end to end, managing compliance frameworks (SOC2 Type II, HIPAA, NIST, ISO), continuously monitoring and remediating control failures, and administering workforce security systems (Google Workspace and MDM). The manager will coordinate external audits, maintain policies and evidence collection, track risks, and drive remediation from detection to closure without heavy delegation. The role requires hands-on experience with compliance automation platforms and direct IT administration of identity and access management 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.

Design, build, and scale ETL/ELT pipelines and cloud data warehouse infrastructure using Python, SQL, and modern orchestration tools like Apache Airflow or Prefect. Own the end-to-end data infrastructure that powers business intelligence and operational reporting, including data quality checks, anomaly detection, and performance optimization. Collaborate with analytics and software engineering teams to define data modeling standards and maintain infrastructure-as-code deployments using Terraform and CI/CD. Requires 3–6 years of data engineering or backend development experience with advanced SQL, Python, and hands-on work with cloud data warehouses like Snowflake or BigQuery.

Own end-to-end compliance program operations for a healthcare AI company, managing compliance frameworks (SOC2 Type II, HIPAA, NIST, ISO), continuously monitoring and remediating control failures, and maintaining audit-readiness. Administer Google Workspace and MDM tooling, including user lifecycle management, access controls, and endpoint compliance. Coordinate external audits, manage evidence collection, and drive remediation from detection to closure while partnering with engineering, product, and leadership to scale compliance rigor as the company grows.

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.

Lead software development for an FDA-cleared blood testing platform, overseeing instrument software, application software, cloud connectivity, cybersecurity, and software quality systems. Manage the full software development lifecycle including requirements, risk management, design controls, verification and validation, and regulatory compliance. Work closely with Quality and Regulatory Affairs on FDA submissions, audits, documentation, and post-market support. Direct strategy, roadmap planning, architecture, and release management for a regulated in vitro diagnostic (IVD) medical device.

The Cybersecurity PKI Engineer will develop and maintain secure, scalable PKI solutions aligned with Navy and DoD standards, managing certificate inventories, system configurations, and architectural documentation. The role requires 5+ years in information security focused on PKI and IdAM infrastructure, hands-on experience with PKI hardware/software components, and automated certificate management. Responsibilities include evaluating new technologies, supporting implementation, and partnering across engineering, security, infrastructure, and business teams to deliver solutions meeting operational and technical requirements. A Secret clearance and DoD 8140 Certification are required.

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.

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.

Director leading a pre-sales security engineering team responsible for technical strategy, solution design, and customer-facing support across EVOTEK's cybersecurity portfolio. The role combines deep technical security expertise with people leadership, requiring mentorship of engineers/architects, oversight of enterprise solution design and proof-of-concept engagements, and alignment of technical capabilities with sales and delivery practices. Responsibilities include RFP response, competitive positioning, vendor management, and technical presentations spanning AI security, network security, cloud security, identity & access management, endpoint/XDR, SIEM/SOAR, zero-trust architecture, and data protection. Must understand the VAR business model and translate complex technical capabilities into business value for enterprise stakeholders.