Lead enterprise data engineering and platform strategy, driving modernization, governance, and AI-enabled practices.
Compensation
Pay Range: $155,300.00 - $258,800.00
Responsibilities
Define and execute strategic initiatives that advance enterprise data platform and data engineering capabilities.
Design and implement scalable data platform architectures supporting analytics, reporting, AI, and business intelligence workloads.
Lead modernization efforts across cloud data platforms, data warehouses, data lakes, and lakehouse environments.
Establish and advance data mesh capabilities to improve data accessibility, ownership, and scalability across business domains.
Partner with Enterprise Architecture, Security, Infrastructure, Product, and business stakeholders to align technology solutions with organizational priorities.
Requirements
Nice to have: AI-assisted engineering tools such as Cursor
Security Engineer responsible for the security posture of the cloud and hybrid infrastructure that powers silicon development at Annapurna Labs, ensuring secure, compliant, and hardened systems for chip designers.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Responsibilities
Own the security findings backlog end to end, triage and remediate vulnerabilities
Maintain patching pipelines for RHEL/Rocky Linux, Amazon Linux, Windows Server, cloud and on-premises
Conduct third‑party security assessments and design isolated partner environments
Design and audit access controls across multiple cloud accounts
Build security automation tools, dashboards, and AI‑assisted agents
Requirements
Nice to have: Threat modeling
Nice to have: AI‑assisted development practices
Nice to have: Secure software development lifecycle
We are seeking a highly experienced Senior Django Lead with 9+ years of software development experience and strong expertise in Python, Django, enterprise application development, and system integrations.
Locations (2)
Jersey City, New Jersey, United States
Charlotte, North Carolina, United States
Compensation
Pay Rate: $50/hr on W2
Responsibilities
Lead the architecture, design, development, and deployment of enterprise-grade Django applications.
Design and build scalable, secure, and high-performance backend systems and APIs.
Lead development teams, conduct code reviews, and enforce best practices and coding standards.
Collaborate with business stakeholders, architects, product owners, and cross-functional teams to deliver business solutions.
Design and implement RESTful APIs, microservices, and event-driven architectures.
Requirements
I
Technology Lead | Consulting processes | DevOps Assessment and roadmap definition
Build our internal developer platform, the Engineering Runtime, managing AWS infrastructure as code and ensuring platform reliability and security for internal engineering, data, and AI teams.
Responsibilities
Build internal developer platform, the Engineering Runtime
Manage AWS infrastructure as code (accounts, networks, EKS clusters, Karpenter, databases and IAM)
Make the platform reliable and secure by default, testing disaster recovery
Work with Glass Lewis engineering teams, migrating Azure applications to the platform
Talk to platform users to determine next build priorities
An Azure DevOps Engineer who enjoys building reliable, secure, and scalable cloud environments from the ground up, integrating AI coding agents into daily development to accelerate infrastructure and pipeline creation.
Responsibilities
Build the project’s Azure environments within the platform guardrails defined by the Enterprise Architect
Build and maintain infrastructure as code for the platform using Terraform or Bicep
Build and maintain the CI/CD pipelines that deliver the platform
Generate infrastructure as code and pipelines from environment specifications using AI coding agents, keeping every change under version control and human review
Implement security and quality gates in the pipelines
Serve as Technical Lead designing and technically integrating advanced Artificial Intelligence (AI) and Large Language Model (LLM) capabilities supporting the Department of Homeland Security (DHS).
Compensation
Expression offers competitive salaries and benefits, such as:
Responsibilities
Lead the technical architecture, design, and implementation of enterprise AI and agentic AI solutions within the Government's existing AI environment
Define scalable, secure, and maintainable software architectures integrating LLMs, specialized AI agents, enterprise data services, APIs, and human-in-the-loop workflows
Design and implement multi-agent orchestration frameworks, including Responder–Evaluator–Reporter workflows, model selection, prompt management, tool invocation, and structured output validation
Lead the integration of Government-approved frontier AI models through authorized endpoints
Architect retrieval-augmented generation (RAG) solutions that integrate authorized enterprise data sources while preserving source attribution, access controls, data lineage, and traceability
As our Senior Staff Machine Identity and PKI Engineer, you'll set technical standards across SRE, platform and product. You'll own decisions with long-term consequences, from certificate authority (CA) design to post-quantum planning, bringing deep specialist judgment to machine identity, secrets and PKI.
Compensation
$210,000—$270,000 USD
Responsibilities
Build the non-human identity register, covering cloud service accounts, CI credentials, API keys, tokens, certificates and agent identities, each with an owner, scope and rotation date.
Replace static, long-lived credentials with short-lived workload identity using GitHub Actions OIDC, cloud workload identity federation, Kubernetes service account tokens, and SPIFFE/SPIRE where it fits.
Own Nscale's PKI and lead implementation of a certificate lifecycle management platform, with selection currently under way.
Automate issuance and renewal using ACME, cert-manager and EST/SCEP, and implement device certificates for managed endpoints.
Set the machine secrets standard and partner with SRE, who run HashiCorp Vault, on how workloads authenticate to it and use its PKI.
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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