About the Role

We are seeking an experienced DevSecOps Engineer to drive secure development practices, enforce compliance, and strengthen our cloud and software delivery infrastructure. You will play a key role in integrating security across our CI/CD pipeline, infrastructure, and operational workflows. You will work closely with engineering, compliance, and IT to embed security and privacy throughout the software development lifecycle while supporting scalable and resilient infrastructure on AWS. Automate DevSecOps processes including infrastructure provisioning, security scanning, and evidence collection workflows. Integrate security tooling (e.g., SAST, DAST, secret scanning) into GitLab CI/CD pipelines.

Implement and maintain security gates, pre-commit hooks, and policy checks for PRs. Automate infrastructure provisioning using Terraform and enforce least-privilege access (IAM, RBAC). Ensure environment segregation (dev/test/prod) and enforce cloud security controls (security groups, NACLs, AWS Config). Drive secure release strategies including blue/green, canary, and rollback mechanisms.

Build centralized logging and monitoring (CloudWatch, Datadog) with alerting for anomalies and error conditions. Build, maintain, and periodically test disaster recovery, backup, and incident response mechanisms. Manage SSO integrations (e.g., Auth0, Keycloak) and enforce MFA across admin and user accounts.

Conduct access reviews, automate evidence collection for compliance (e.g., Drata), and support internal audits. Collaborate on secure SDLC policies, release governance, and architecture documentation.

Key Responsibilities Required experience

5+ years of experience in DevSecOps, Cloud Security, or Infrastructure Security roles. Expertise with AWS services, IAM, security best practices, and compliance tooling. Strong proficiency with Terraform (IAC) and GitLab (CI/CD pipelines, PR validation). Solid understanding of cloud-native security patterns, secret management (AWS Secrets Manager, Vault), and access controls. Familiarity with vulnerability scanning, static/dynamic analysis tools, and centralized logging platforms.

Comfortable working in Microsoft-centric environments (Teams, Azure AD). Good to have Experience with compliance frameworks (e.g., SOC 2, ISO 27001). Exposure to security automation platforms like Drata. Ability to collaborate cross-functionally with engineers, auditors, and product stakeholders.

About the Role:

We’re building a next-generation AI-powered Search & Engagement platform that will transform static search into a guided, personalized experience. Users will see tailored “swimlanes” of content, recommendations, and engagement features.

As a Backend Engineer, you’ll help design and implement the APIs, data flows, and integrations on AWS that power this platform. You’ll work closely with architects, frontend developers, and AI/ML engineers to deliver a secure and scalable system, all within an ambitious 90-day project timeline.

Key Responsibilities

• Build and maintain backend services on AWS (Lambda, API Gateway) for search, feedback, tasks, and analytics.
• Build and maintain backend services on AWS (Lambda, API Gateway) for search, feedback, tasks, and analytics.
• Create pipelines to enrich content with tags, lay terms, and related data.
• Capture user interaction signals (clicks, ratings, dwell time) and process them for re ranking and analytics.
• Develop and document APIs for use by web, iOS, and Android clients.
• Ensure performance targets (e.g., <2.5s retrieval time) and compliance standards are met.)
• Collaborate daily with frontend, DevOps, and product teams in an agile environment.

Required Skills & Experience

• Solid experience building backend services with AWS (Lambda, API Gateway, DynamoDB, S3, Kinesis).
• Hands-on knowledge of OpenSearch/Elasticsearch (indexing, search queries).
• Experience designing and scaling APIs (REST/GraphQL, OpenAPI).
• Familiarity with event-driven architectures and basic data pipelines.
• Proficiency in at least one backend language (Python or Node.js preferred).
• Understanding of secure coding practices; exposure to compliance-sensitive environments (HIPAA/PII is a plus).

Nice to Have

• Experience with LLM-powered features or recommendation systems.
• Familiarity with observability/monitoring tools (CloudWatch, PostHog, etc.).
• Background in healthcare, wellbeing, or content-driven applications.

What We Offer

• Opportunity to work on a cutting-edge AI + search + personalization platform.
• A collaborative environment with architects, product leads, and AI specialists.
• Fast-paced 90-day project with potential for longer-term engagement.
• The chance to make a direct impact on real-world applications.

About the Role:

We are seeking a Project Lead / Cloud Architect with strong expertise in AWS-native solutions and secure healthcare-grade systems. This role will oversee the architecture, integration, and delivery of an AI-powered Search & Engagement platform. The candidate must ensure HIPAA/PHI compliance, embed cost and security guardrails, and drive end-to-end solution delivery in collaboration with client teams.

Key Responsibilities

• Lead architecture design and technical roadmap for the AWS-native AI-powered search system.
• Define and enforce HIPAA-grade security, PHI redaction, encryption, and compliance controls.
• Establish cost guardrails and latency monitoring from day one to ensure scalable, efficient operations.
• Integrate backend, frontend, and data/ML components into a cohesive, production-ready system.
• Collaborate with client-side stakeholders (product, UX, clinical reviewers) to align technical design with compliance and user needs.
• Drive infrastructure-as-code (SST/CDK) setup for repeatable, secure deployments.
• Provide technical leadership and mentorship to backend engineers and cross-functional teams.
• Oversee system observability, reliability, and resilience planning.

About the Role:

• 10+ years of experience in software engineering with at least 4+ years in cloud architecture (AWS preferred).
• Proven expertise with AWS services: S3, OpenSearch, Lambda, SageMaker, DynamoDB, MemoryDB, Kinesis.
• Strong knowledge of HIPAA compliance and secure healthcare data handling.
• Experience in cost optimization, monitoring, and FinOps best practices.
• Hands-on experience with Infrastructure-as-Code (IaC) tools (SST, AWS CDK, Terraform, or CloudFormation).
• Background in architecting AI/ML-powered systems or large-scale data-driven platforms.
• Excellent stakeholder management, leadership, and communication skills.