Embrace Software Inc

QA Engineer

• You will play a key role in shaping our QA strategy for a legal-tech and fintech SAAS product.
• You will work closely with developers and architects to design and implement robust test automation for both frontend and backend services.
• Help ensure that our systems are reliable, secure, and scalable.
• Quickly learn and adapt to new technologies, as required by the role.

QA Engineer – Automation

Application Engineer

• Triage and manage incoming support tickets across multiple customers, maintaining SLA response and resolution.
• Communicate directly with customers by setting expectations, providing status updates, and translating technical problems into plain language.
• Read existing code and design documents to understand customer environments before issues arise.
• Implement code fixes in C#/.NET and React/TS for production and test environments.
• Escalate tickets with thorough documentation when issues require deeper engineering involvement.
• Review software releases, test Cloud environments, and coordinate releases with customers.
• Participate in a rotating on-call schedule for customers contracted for 24/7 after hours support.
• Document issues, resolutions, and institutional knowledge for the team.

Application Support Engineer

Frontend Engineer

• Design, develop, and maintain high-quality UI components using React, TypeScript, and modern front-end tools
• Integrate front-end components with RESTful APIs and backend services
• Ensure responsive design , cross-browser compatibility, and strong UI performance
• Participate in code reviews and technical discussions to maintain code quality and best practices
• Contribute to a collaborative and learning-focused engineering culture
• Build features that support real-world user and business workflows

Front End Developer, React

Product Manager

• Translate high-level product strategy into clear, actionable requirements and development tasks that guide team execution and align with business objectives.
• Own and manage the product backlog, ensuring clarity, prioritization, and consistent alignment with evolving business needs.
• Define and maintain product roadmaps, user story maps, and release plans to support structured planning and transparent delivery.
• Act as the primary liaison between stakeholders and development teams to ensure consistent communication, shared understanding, and alignment throughout the product lifecycle.
• Facilitate key Agile ceremonies, including backlog refinement, sprint reviews, and retrospectives, to drive alignment, transparency, and continuous improvement across teams.
• Collaborate closely with development and QA teams to define clear, actionable user stories and establish well-defined acceptance criteria that ensure shared understanding and high-quality delivery.
• Monitor and report on key delivery metrics such as team progress, development velocity, and release readiness to ensure transparency and continuous improvement.
• Collaborate with stakeholders to align product delivery with broader business objectives and strategic goals.

Cloud Engineer

• Manage and support Azure infrastructure across dev, QA, staging, and production
• Maintain operational health of Static Web Apps, Container Apps, PostgreSQL, Storage Accounts, SignalR, Service Bus, Azure AI Foundry, Azure Arc, and related services
• Ensure resources are provisioned, configured, monitored, maintained, and retired per company standards
• Support environment setup for new products, customers, and integrations
• Identify and resolve infrastructure issues affecting performance, reliability, availability, or security
• Build and maintain Terraform modules and environment configurations
• Ensure infrastructure changes are version-controlled, peer-reviewed, tested, and approved
• Manage Terraform state, workspaces, variables, secrets, and deployment workflows
• Detect and resolve drift between Terraform and deployed Azure resources
• Standardize naming, tagging, resource group structure, environment isolation, and module patterns
• Build, maintain, and troubleshoot GitHub Actions workflows for application and infrastructure deployments
• Support CI/CD pipelines across multiple SaaS products and environments
• Implement promotion flows from dev to QA to staging to production
• Add deployment safeguards: environment protection rules, approvals, rollback procedures, validation checks, release gates, and audit trails
• Manage pipeline secrets, service principals, managed identities, and deployment credentials
• Improve build and deployment reliability, speed, and traceability
• Operate and monitor Azure AI services, including Azure AI Foundry and Speech-to-Text workloads
• Support production operations for LLM integrations and AI-enabled product features
• Monitor AI service availability, latency, quota usage, token consumption, API failures, throttling, and cost
• Help define operational standards for AI workloads: access control, logging, alerting, failover, usage governance, and provider disruption handling
• Partner with engineering to troubleshoot AI service issues, integration failures, degraded model responses, or provider-side disruptions
• Support secure handling of AI secrets, endpoints, keys, managed identities, and private network access
• Implement and maintain monitoring with Azure Monitor, Log Analytics, Application Insights, and related tools
• Build dashboards for infrastructure, application, database, messaging, storage, AI service, and deployment health
• Configure alerts for availability, latency, errors, resource saturation, queue depth, failed jobs, failed deployments, database health, quota exhaustion, and cost anomalies
• Improve signal quality by reducing noise and ensuring alerts are actionable
• Participate in production incident response for infrastructure, deployments, integrations, and platform services
• Triage and resolve issues across Azure services, CI/CD, Terraform, networking, databases, messaging, and AI integrations
• Create and maintain runbooks for common operational issues
• Support root cause analysis and post-incident reviews
• Implement preventive actions after incidents to improve reliability
• Help define severity levels, escalation paths, response expectations, on-call processes, and production support procedures
• Implement cloud security best practices across Azure environments
• Manage Azure RBAC, managed identities, service principals, Key Vault access, and least-privilege permissions
• Secure GitHub Actions workflows, deployment credentials, environment secrets, and production access
• Support secret rotation, certificate management, and secure configuration management
• Enforce network security via private endpoints, firewalls, IP restrictions, and environment-specific access rules
• Support audit and compliance readiness for SOC 2, ISO 27001, or similar frameworks
• Support Azure PostgreSQL operations: backups, restores, performance monitoring, connection limits, HA, and capacity planning
• Monitor and maintain Azure Storage Accounts, lifecycle policies, access controls, backup strategy, and usage trends
• Support Azure Service Bus operations: queue/topic monitoring, dead-letter handling, retry behavior, and throughput
• Support SignalR operational health, connection metrics, scaling behavior, and related production issues
• Monitor Azure spend across products, environments, services, and customers where applicable
• Implement tagging standards to support cost allocation by product, environment, customer, or business unit
• Build cost dashboards, budget alerts, anomaly detection, and recurring cost reviews
• Identify underutilized resources and recommend right-sizing opportunities
• Review AI service costs, LLM and token usage, STT usage, storage growth, database sizing, and environment costs
• Recommend savings plans, reservations, scaling rules, lifecycle policies, or shutdown schedules
• Define and maintain backup and recovery procedures for critical cloud services
• Test database restores and validate backup reliability
• Help define RTOs and RPOs for production systems
• Support disaster recovery planning for SaaS products and customer-facing services
• Improve resilience through scaling rules, failover patterns, health checks, synthetic monitoring, and production readiness reviews
• Create and maintain CloudOps documentation, runbooks, deployment guides, and environment standards
• Define standards for naming, tagging, logging, alerting, access control, Terraform structure, GitHub Actions patterns, and production changes
• Document procedures for cloud services, CI/CD workflows, AI services, and incident response
• Enable engineering teams with reusable patterns, templates, and self-service guidance

Azure CloudOps Engineer

Solutions Engineer

• Design and ship production RAG systems for enterprise customers — chunking strategy, embeddings, hybrid retrieval, reranking, query rewriting, citation grounding, the works.
• Own retrieval evaluation end-to-end — define golden sets, build eval pipelines (Ragas, TruLens, LangSmith, or custom), and drive measurable quality wins (think context precision 0.65 → 0.90, not "looks good to me").
• Architect agentic systems layered on top of RAG — multi-step retrieval, tool use, MCP integrations, guardrails, output validation.
• Embed directly with customer engineering teams — pair on whiteboards, write code in their repos, debug their data, present to their CTO.
• Technically lead a distributed team of FDEs across time zones — set the quality bar, review architecture, mentor engineers, own customer outcomes.
• Close the loop with our product org — what breaks in the field shapes what we build next.

Forward Deployed Engineer – AI Solutions Architect

Platform Engineer

• Own and evolve the AWS infrastructure that underpins our multi-tenant SaaS platform.
• Design, provision, and manage production-grade AWS services including EC2, S3, RDS, ECR, VPC, IAM, CloudFront, Route 53, and EKS/ECS clusters.
• Implement and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Architect and optimize PostgreSQL infrastructure including automated backups, replication, and performance tuning.
• Drive high availability, disaster recovery planning, scalability, and cloud cost optimization initiatives.
• Build and maintain delivery pipelines for rapid, safe, and reliable deployments.
• Design and operate CI/CD workflows for Python (Django/Flask/FastAPI) and React applications.
• Implement deployment strategies to reduce production risk.
• Manage Docker-based development and production environments.
• Design, operate, and optimize our container orchestration platform.
• Build and maintain monitoring, alerting, and observability systems using CloudWatch, Datadog, Prometheus, and Grafana.
• Partner with engineering teams to improve deployment reliability and operational efficiency.

Platform Engineer – AWS

Backend Engineer

• Design and implement critical features and platform components – this is an active coding role.
• Own technical architecture decisions: system design, service boundaries, data modelling, and API contracts.
• Lead code and design reviews, setting the technical bar and coaching engineers through them.
• Resolve complex engineering challenges, performance bottlenecks, and cross-cutting concerns.
• Drive adoption of engineering best practices: TDD, CI/CD, observability, and security-by-design.
• Lead a small agile team – run sprints, set goals, unblock engineers, and manage delivery commitments.
• Mentor and develop engineers through regular 1:1s, feedback, and pair programming.
• Collaborate with Product and Operations to refine roadmaps and translate requirements into technical plans.
• Lead the team’s adoption of AI development tools (e.g. GitHub Copilot, AI-assisted testing) and build internal best practices.
• Identify opportunities to embed AI/ML capabilities into the Radiant platform to enhance customer value.
• Evaluate emerging AI tools and partner with leadership to define an AI strategy roadmap for engineering.

Lead Engineer, .NET

Customer Support

• Provide first-level support for banking software to financial institution customers, including issue resolution and troubleshooting.
• Configure and train clients on software modules and provide applications.
• Participate in help desk activities, handling daily support inquiries via phone, email, or remote tools.
• Travel to customer sites for installations, upgrades, and training sessions as needed.
• Participate in after-hours support rotation once proficient in product functionality.
• Work closely with internal teams such as QA, Development, and IT to identify and resolve complex issues.
• Document support procedures and client-specific configuration steps.
• Maintain accurate records of all customer interactions using internal call tracking/reporting systems.
• Keep instructional materials and customer-facing documentation current and relevant.
• Communicate status updates and key customer concerns to management.
• Maintain a positive and professional demeanor with both customers and coworkers.
• Ensure timely submission of project updates and travel/expense reports.
• Actively pursue opportunities for skill development and knowledge expansion through hands-on involvement in field installations and software upgrades.

Software Support Representative

• Build, test, and deploy full-stack web applications using Python (FastAPI or Django) on the backend and React on the frontend.
• Design and maintain robust data layers, including relational and NoSQL databases (PostgreSQL, MongoDB).
• Develop and optimize database objects — schemas, indexes, queries, and migrations — using SQLAlchemy or the Django ORM, ensuring high performance and scalability.
• Collaborate with product managers and design teams to translate complex domain workflows across Embrace's regulated verticals into intuitive, efficient user experiences.
• Implement, secure, and optimize RESTful APIs and microservices hosted on AWS or Microsoft Azure.
• Build and manage CI/CD pipelines and automated deployments using GitHub Actions, GitLab CI, or Azure DevOps.
• Manage cloud services such as compute (ECS/EKS, App Service, Containers), serverless (Lambda, Azure Functions), secrets management (Secrets Manager, Key Vault), object storage (S3, Blob Storage), messaging (SQS/SNS, Service Bus), and observability (CloudWatch, Application Insights).
• Optimize front-end and back-end performance for scalability, reliability, and maintainability.
• Write clean, well-structured, and testable code following industry best practices — including type hints, pytest, and modern Python tooling (uv, ruff, mypy).
• Lead architecture planning, code reviews, and continuous improvement initiatives alongside principal engineers across Embrace Technology Group.
• Work AI-first, using Claude Code, Codex, GitHub Copilot, Cursor, or JetBrains AI as your primary day-to-day development tools. The majority of your code will be AI-assisted, and you will review, refine, and validate that output to a production bar.
• Contribute to new product builds and modernization across Embrace's six regulated industry verticals, plus special projects from Venture AI Labs — prototypes, applied experiments, and zero-to-one product bets.

Senior Python Developer – Technology & AI Labs

Account Executive

• You will own a strategic named-account portfolio that includes the 8 of the top 10 chemical companies, 3 of the top 10 automotive manufacturers, and 3 of the top 5 oil & gas majors globally.
• Your mandate is twofold: deepen penetration across these flagship enterprise accounts and capture the next wave of Fortune 500 logos across industrial manufacturing, heavy machinery, and food & beverage production.
• This is a hunter role with full enterprise weight behind it: net-new logo acquisition, strategic account expansion, six- and seven-figure deal cycles, and direct executive air cover from Radiant and Embrace leadership.

Enterprise Account Executive, Industrial IoT

• Own a strategic named-account portfolio including top global companies.
• Build and run a book of named enterprise accounts in process and discrete manufacturing.
• Lead 6–12 month consultative sales cycles with multiple stakeholders.
• Forecast accurately in Salesforce and hit your number.
• Partner with marketing, product teams and drive pilots and contracts.

Enterprise Account Executive – Industrial Intelligence

Full-stack Engineer

• This is a senior marketing role inside a shared services function that supports a growing portfolio of B2B SaaS companies.
• You will work across multiple businesses — each with its own product, market, buyer persona, and growth challenge.
• You will need to get up to speed fast, form a sharp point of view quickly, and drive execution without waiting for someone to hand you a playbook.
• There is no single playbook — you will help build them.
• You are not here to manage a content calendar for one brand.
• You are here to make multiple businesses more competitive, more visible, and better at generating pipeline — simultaneously.

Full-Stack Marketer – Multiple SaaS Worlds

Artificial Intelligence

• Process Transformation — Map broken processes, identify inefficiencies, and redesign how teams operate. Convert vague business problems into structured workflows, dashboards, and system changes.
• AI & Automation Implementation — Build real AI-powered workflows for lead research, reporting, CRM updates, support automation, document processing, and internal assistants. Using tools like Claude, ChatGPT, n8n, Make, Zapier, Power Automate, UiPath, and APIs.
• Systems Rollouts — Implement and improve CRM, Helpdesk, ERP, HRMS, and reporting platforms. Gather requirements, configure systems, support UAT, clean data, and drive real user adoption.
• Data, Reporting & Dashboards — Analyze business data, build Advanced Excel dashboards, create KPI reports, and give leadership clean, actionable data to make faster decisions.
• Portfolio Enablement — Work across multiple acquired SaaS companies to standardize processes, automate workflows, and build scalable operating models. New business, new problem, every week.

AI Automation Specialist

Ecommerce

• Design & UX. Create wireframes, high-fidelity layouts, and design systems aligned with brand and business goals. Own the visual quality bar across all digital properties.
• Engineering. Build and manage sites across WordPress, Drupal, Webflow, and custom stacks. Develop themes, templates, and reusable components. Migrate from legacy CMS to modern platforms end-to-end.
• Campaigns. Build and maintain landing pages, UTM tracking flows, and webforms that connect to CRM. Work with marketing and sales enablement teams to hit launch timelines.
• AI & Speed. Identify and implement AI tools that cut turnaround. Use Claude, Gemini, Cursor, and whatever comes next to scaffold code, draft copy, and automate the repetitive stuff.
• Delivery. Manage multiple concurrent projects across brands. Communicate clearly with non-technical stakeholders. Create structure where there isn't any.