About Us We are a forward-thinking AI enterprise software company building governance solutions. Our systems combine Python engineering, Natural Language Processing, and Machine Learning to deliver secure governance solutions. We’re seeking a Back-End Python Engineer with expertise in AWS deployed applications, GITHUB CI/CD pipelines, DJANGO, ML Pipelines, Endpoint Integration, Sagemaker, containerization, Use of AI to design front end applications and debug code. Key Responsibilities Design, develop, and maintain back-end services in Python to support software application Debug Application for Quality and Assurance Build Data Connectors for Application Integration Implement new features with front end design as needed Containerize and deploy services across AWS infrastructure. Build and scale RESTful APIs and microservices (Django + DRF) that integrate into automated pipelines. Tune system performance (network, I/O, memory, GPU utilization) for optimization. Architect and maintain databases (SQL & NoSQL), ensuring query optimization, high availability, and caching (Redis). Integrate background processing (Celery) and real-time communication (WebSockets) into containerized environments. Collaborate with DevOps, front-end, and AI/ML teams to deliver end-to-end automated workflows. Apply best practices in system design (SOLID, DRY, KISS), Python standards (PEP8), and secure infrastructure deployment. Qualifications Core Skills Proficiency in Python (OOP, async, functional programming, data structures). Expert-level knowledge of AWS Infrastructure (deployment, operators, CI/CD, scaling). Strong background in containerization (Docker, Podman) and Kubernetes-native orchestration patterns. Experience supporting AI Dev automation workflows and integrating back-end services with automated pipelines. Deep knowledge of Django & DRF: ORM, serializers, view sets, permissions, HTTP methods. Advanced database design & optimization for high-throughput applications. Familiarity with Redis caching, Celery task queues, and uWSGI/ASGI communication layers. Solid testing skills (pytest/unittest) and CI/CD pipelines with Git. Preferred Expertise Hands-on experience with GPU-enabled workloads and hardware acceleration in containerized environments. Familiarity with infrastructure automation tools (Ansible, Terraform, or similar). Agile/Scrum team experience and use of task tracking (Jira, Trello). What We’re Looking For We want an engineer who: PRIORITIZES SECURITY OF SYSTEMS AND INFRASTRUCTURE ACROSS SECURITY FRAMEWORKS Builds automation-first systems that support AI Dev workflows from code to deployment. Thinks about performance and scalability at the infrastructure + software level. Collaborates across teams (DevOps, AI/ML, product) to deliver fully integrated, automated platforms.

Location: Massachusetts (Hybrid/Remote with Onsite Support as Needed) Employment Type: Full-Time Clearance/Background Requirements: Ability to pass state and federal background investigations About the Opportunity We are seeking a highly skilled and experienced Senior Splunk Engineer to support large-scale security operations, observability, and data analytics initiatives for government and enterprise environments, including critical support for the Commonwealth of Massachusetts Executive Office of Technology Services and Security (EOTSS). This role requires a hands-on technical expert capable of architecting, deploying, optimizing, troubleshooting, and maintaining complex Splunk environments supporting cybersecurity operations, compliance initiatives, incident response activities, and enterprise IT monitoring. The ideal candidate combines deep Splunk expertise with strong infrastructure, cloud, security, and automation skills and can operate effectively within highly regulated environments. Key Responsibilities Splunk Architecture & Administration • Design, deploy, configure, and maintain enterprise Splunk environments. • Manage Splunk Enterprise and Splunk Cloud deployments. • Administer Indexers, Search Heads, Deployment Servers, Heavy Forwarders, Universal Forwarders, and Cluster Managers. • Design and optimize data ingestion pipelines across diverse data sources. • Implement and maintain Splunk clustering and high-availability architectures. • Perform capacity planning and infrastructure optimization. Security Operations Support • Support Security Operations Center (SOC) initiatives. • Develop and maintain SIEM use cases, correlation searches, alerts, and dashboards. • Create and tune Splunk Enterprise Security (ES) content. • Assist with threat hunting and incident investigations. • Support MITRE ATT&CK mapping and threat detection engineering. • Analyze security events and provide actionable recommendations. EOTSS & Government Support • Assist with onboarding state agencies and municipalities into centralized Splunk platforms. • Support compliance initiatives including CJIS, IRS Publication 1075, HIPAA, NIST, and other regulatory frameworks. • Participate in major incident response activities. • Collaborate with agency stakeholders, security teams, and executive leadership. • Develop operational runbooks and technical documentation. Data Engineering & Integration • Integrate logs and telemetry from: o Microsoft 365 o Azure o AWS o Google Cloud o Windows Server o Linux o Network Infrastructure o Firewalls o Endpoint Security Platforms o Identity Providers o SaaS Applications • Develop custom parsers, field extractions, transforms, and CIM mappings. • Support Splunk Data Models and accelerated searches. Automation & Optimization • Develop automation using: o Python o PowerShell o REST APIs o SOAR platforms • Improve operational efficiency through workflow automation. • Optimize search performance and reduce infrastructure costs. • Implement monitoring and health-check frameworks. Required Qualifications Technical Experience • 5+ years of hands-on Splunk engineering experience. • 3+ years supporting enterprise-scale Splunk deployments exceeding 500GB/day ingestion. • Strong experience with: o Splunk Enterprise o Splunk Enterprise Security (ES) o Splunk Cloud o Splunk ITSI (preferred) o Splunk SOAR (preferred) Infrastructure Knowledge • Windows Server Administration • Linux Administration • Active Directory • Microsoft Azure • AWS • Virtualization Platforms • Networking fundamentals • DNS, DHCP, PKI, VPN technologies Security Knowledge • SIEM Operations • Threat Detection Engineering • Incident Response • Vulnerability Management • Security Frameworks: o NIST o CIS o CJIS o HIPAA o IRS 1075 o CMMC (preferred) Scripting & Development • Python • PowerShell • Regex • JSON • XML • REST APIs • Git Preferred Certifications Splunk Certifications • Splunk Certified Architect • Splunk Certified Admin • Splunk Enterprise Security Certified Admin Security Certifications • CISSP • GIAC Certifications • GCIH • GCIA • Security+ • CySA+ Cloud Certifications • Microsoft Azure Administrator • Azure Security Engineer • AWS Solutions Architect Desired Experience Candidates with experience supporting any of the following will receive special consideration: • State Government • EOTSS • Massachusetts Municipalities • Public Safety Agencies • Law Enforcement • Emergency Management • Healthcare • Critical Infrastructure • Managed Security Service Providers (MSSP) • Security Operations Centers (SOC) Personal Characteristics • Strong troubleshooting skills • Excellent communication abilities • Ability to interact with executive leadership • Strong documentation practices • Self-starter capable of working independently • Team-oriented mindset • Ability to remain calm during high-pressure incidents • Passion for cybersecurity and operational excellence What Success Looks Like Within the first 12 months, this individual will: • Improve Splunk search performance and platform stability. • Assist in onboarding additional agencies and data sources. • Enhance threat detection coverage. • Reduce alert fatigue through optimization. • Strengthen compliance reporting capabilities. • Become a trusted technical advisor for EOTSS stakeholders and leadership. Bonus Qualifications • Previous EOTSS experience. • Existing Commonwealth of Massachusetts relationships. • Experience supporting large Splunk deployments exceeding 1TB/day ingest. • Experience with cybersecurity consulting or MSSP environments. For EOTSS specifically, I would strongly recommend targeting candidates with Splunk Architect, Splunk ES, Microsoft Sentinel, and Massachusetts state government experience, because the technical challenges tend to be as much about stakeholder management, compliance, and onboarding agencies as they are about Splunk administration itself. A former EOTSS contractor or someone from Optiv, Deloitte, Accenture, TekStream, or a large MSSP would likely hit the ground running.

**Job Description:** Join our team to collaborate with software engineering, product, analytics, and business stakeholders in delivering high-performance data solutions for operational reporting, business intelligence, advanced analytics, and AI initiatives. **Key Responsibilities:** **Data Architecture & Platform Design** - Evolve data architecture for operational and analytical workloads. - Implement scalable data warehouses, lakes, and lakehouses. - Establish data modeling standards and best practices. - Modernize data platforms using Azure cloud technologies. **Data Engineering** - Develop and maintain scalable ETL/ELT pipelines. - Build data integration solutions using Azure services. - Ensure data quality through monitoring and automation. **Performance & Optimization** - Optimize SQL queries and data pipelines for efficiency. - Analyze large datasets to improve performance. - Collaborate with engineering teams to enhance database design. **Data Quality & Reconciliation** - Establish data validation and auditing processes. - Resolve data discrepancies across systems. - Maintain data quality standards. **Analytics Enablement** - Support data models for reporting and analytics. - Collaborate with stakeholders to translate requirements into solutions. - Enable self-service analytics through well-governed datasets. **Required Qualifications** - 7+ years in Data Engineering/Architecture. - Expertise in enterprise-scale data architectures and SQL. - Experience with ETL/ELT in cloud environments. - Strong understanding of data warehousing and governance. **Technical Skills** - Required: Azure SQL, Data Factory, Synapse Analytics, SQL Server, data modeling, and performance tuning. - Preferred: Microsoft Fabric, Azure Data Lake, Apache Spark, Python, CI/CD, and AI/ML data platforms. **Preferred Experience** - Experience with SaaS and large-scale datasets, particularly in data-intensive industries like healthcare. - Designing platforms for advanced analytics and business intelligence. **Success Metrics** - Reliable and scalable data platforms. - Trusted reporting with strong data quality. - High-performance environments that support business growth and analytics initiatives.

Sr. Azure Cloud Architect / Engineer — Part-Time Freelance Location: Remote Engagement: Part-time / freelance / project-based Availability: Ongoing, as-needed support Company: SKYTEK Solutions, LLC About the Role We are looking for a senior-level Azure Cloud Architect / Engineer to assist our team on a part-time freelance basis with advanced Azure infrastructure, security, automation, and cloud architecture projects. This is not an entry-level or basic admin role. We need someone who is highly experienced, hands-on, and comfortable working in real enterprise environments. The ideal candidate has deep experience designing, securing, deploying, and supporting Azure IaaS environments using Microsoft best practices, the Cloud Adoption Framework, Terraform/IaC, runbooks, CI/CD pipelines, and strong security controls. You will work alongside our internal engineering team on client cloud environments, architecture reviews, migrations, automation, hardening, and ongoing optimization. Responsibilities The selected consultant will assist with: Designing and reviewing Azure IaaS environments Azure landing zone architecture using Microsoft Cloud Adoption Framework principles Hub-and-spoke network design, VPN, routing, NSGs, Azure Firewall, and private networking Terraform / Infrastructure as Code development and review Azure DevOps or GitHub-based CI/CD pipelines for infrastructure deployment Azure Automation runbooks and operational automation Security hardening of Azure environments Identity and access design using Entra ID, PIM, RBAC, MFA, and Conditional Access Backup, disaster recovery, monitoring, alerting, and operational readiness Cost optimization, rightsizing, and Azure best-practice reviews Documentation of architecture, runbooks, deployment processes, and support procedures Assisting with complex troubleshooting and escalation support Required Experience The right candidate must have strong hands-on experience with: Microsoft Azure IaaS Azure Cloud Adoption Framework Azure landing zones Terraform / IaC Azure DevOps and/or GitHub Actions CI/CD pipelines Azure Automation runbooks Azure networking Entra ID / Azure AD RBAC, PIM, Conditional Access, MFA Azure security best practices Backup, DR, monitoring, logging, and governance Enterprise client environments Preferred Experience Strong preference for candidates with experience in: MSP or consulting environments Multi-tenant or multi-client Azure support Azure Migrate Windows Server workloads in Azure Active Directory integration with Azure Defender for Cloud Sentinel / SIEM integrations Policy-as-Code Bicep, ARM templates, or PowerShell automation SOC 2 / ISO 27001 aligned environments Regulated industries such as healthcare, finance, or enterprise manufacturing Ideal Candidate We are looking for someone who is: Senior, experienced, and confident Hands-on, not just theoretical Security-focused Excellent at documenting work Able to explain complex cloud decisions clearly Comfortable working with an MSP engineering team Reliable, responsive, and professional Able to jump into existing environments and quickly assess what is needed Focused on doing things the right way, not quick-and-dirty cloud builds Engagement Details This is a part-time freelance role with ongoing project work. Hours may vary based on client needs, but we are looking for someone who can become a trusted senior cloud resource for advanced Azure architecture and engineering support. Availability during some US business hours is preferred. How to Apply Please include: A brief summary of your Azure architecture experience Examples of Azure IaaS or landing zone projects you have completed Your experience with Terraform and CI/CD pipelines Your experience with Azure security, CAF, and governance Your hourly rate and general availability Any relevant Microsoft certifications Screening Questions Please answer the following: Describe an Azure landing zone you designed or implemented. What architecture did you use? How do you structure Terraform for enterprise Azure deployments? What are the most important Azure security controls you implement by default? Have you built CI/CD pipelines for Azure infrastructure deployment? Please explain. How do you approach cost optimization and governance in Azure?

Eligibility: This role is open to U.S. citizens only due to client security and compliance requirements. Please apply through this posting only — do not contact Data-Sleek directly regarding this position. Applications received outside this channel will not be considered and reported to Upwork. Data-Sleek is looking for a Senior AI Solutions Engineer to lead our on-premise and government-cloud AI deployments. You will design, build, and deploy AI-powered data pipelines for clients who cannot use commercial cloud due to ITAR, CMMC, or other data residency constraints, beginning with a client in the aerospace and defense sector. Beyond this first engagement, you will become Data-Sleek's go-to engineer for AI deployments across defense and aerospace clients, building the practice rather than just executing a single project. About Data-Sleek Founded in 2020, Data‑Sleek® is a U.S.-based AI and data consulting firm that helps mid-market companies build the data foundation that AI actually runs on. We own the full path — data strategy, architecture, integration, warehousing, and AI implementation — so organizations can adopt AI with confidence, stay compliant, and scale, without first hiring an internal data team. Our distributed U.S. team (San Francisco, Los Angeles, Irvine, Dallas, Chicago, and New York) partners with clients across healthcare, finance, insurance, logistics, and technology, modernizing data platforms with best-in-class tools like Snowflake, dbt, Fivetran, Tableau, and AWS. Trusted by Fortune 500 institutions and growing companies alike, Data‑Sleek turns complex data into measurable outcomes — faster insight, lower cost, and AI projects that deliver. About the Role You will own the technical delivery of AI-powered data pipelines in restricted environments where commercial cloud is not an option. The immediate engagement centers on a Product Lifecycle Management (PLM) data migration: building a pipeline that connects to a client's SharePoint on a restricted Microsoft 365 government tenant, reads engineering documents, classifies and summarizes them, detects duplicates, and rates naming-convention compliance to produce a migration-readiness report. You will start on-premise, then help the client evaluate and move to government cloud for production. Key Responsibilities AI Pipeline Development Build AI pipelines that connect to a client's SharePoint on a government cloud tenant, read engineering documents, classify them by type, generate summaries, detect duplicates, and rate naming-convention compliance in support of PLM data migration. Catalog large document repositories and produce migration-readiness reports and Excel catalogs that give clients a clear, measurable picture of their data. Engineer document-parsing workflows across DOCX, PDF, and XLSX formats, including embedding generation and database operations. On-Premise & Government Cloud Deployment Deploy on-premise first — a Mac Mini running Gemma via Ollama — standing up, serving, and tuning local inference infrastructure. Evaluate and migrate to production on Azure OpenAI (Azure Government) or AWS Bedrock (GovCloud) when the client is ready to scale. Keep deployments compliant within ITAR-sensitive, restricted-network boundaries throughout. Architecture & Cost Advisory Produce cost models and architecture recommendations that help client IT teams make informed platform decisions based on measured data, not vendor pitches. Compare deployment options — local, Azure Government, and AWS GovCloud — on cost, performance, and compliance, and explain the trade-offs clearly. Practice Building & Delivery Serve as Data-Sleek's go-to engineer for AI deployments across defense and aerospace clients. Build a reusable capability — a repeatable AI-solutions practice — rather than executing a single one-off project. What You Bring Required U.S. Citizen: U.S. citizenship is required and non-negotiable due to ITAR and client security and compliance requirements. Production LLM deployment: You have stood up inference infrastructure — not just called an API. You've handled model loading, memory constraints, failure modes, and throughput tuning in a real deployment. Local inference: Ollama, vLLM, llama.cpp, LM Studio, or TGI. You've served open-source models (Gemma, Llama, Mistral) on local hardware. Cloud AI platforms: Azure OpenAI or AWS Bedrock — at least one. Service configuration, model access, authentication, and token-based pricing. Python: Pipeline engineering — document parsing (DOCX, PDF, XLSX), API integrations, embedding generation, and database operations (SQLite, Postgres). Experience: 5+ years post-degree in software engineering, data engineering, or ML engineering. Strong Preferences Microsoft ecosystem: Entra ID, Microsoft Graph API, and SharePoint REST API at the API level. GCC High experience is a bonus. MCP (Model Context Protocol): Experience building or consuming MCP servers — a significant plus for a fast-evolving protocol. Workflow orchestration: n8n, Temporal, Airflow, or similar. The pipeline is orchestrated, not scripted. Government cloud awareness: Understanding of what FedRAMP High, IL4/IL5, and ITAR mean for cloud architecture decisions. Embeddings & vector similarity: sentence-transformers, pgvector, Qdrant, or FAISS for duplicate detection. 
Bonus (valued if present) Aerospace or defense experience: Familiarity with ECOs, BOMs, and AS9100 saves ramp time. Apple Silicon optimization: MLX, Metal acceleration, and Ollama tuning on M-series chips. Agentic frameworks: Bedrock AgentCore or Azure AI Foundry — the future direction involves agentic AI workflows on government cloud. What This Role Is Not Model training or fine-tuning. This is deployment engineering, not research. Data science or statistical modeling. The AI here is document understanding and classification, not predictive analytics. Frontend development. The deliverable is an Excel catalog and a report, not a web app. Sales or client acquisition. Data-Sleek's leadership manages the client relationship; you focus on delivery. Engagement & Compensation Remote, US-based. Occasional on-site travel to client facilities for hardware deployment and workshops may be needed. An average of 2–3 trips for the first engagement may be possible. Compensation. $40-$55/hour Why Join Data-Sleek? At Data-Sleek, you'll lead AI deployments in environments most engineers never touch — government cloud and on-premise systems where commercial tools simply aren't an option. Your work will directly shape how defense and aerospace clients adopt AI, and you'll build a reusable capability the company grows around. We focus on doing the right thing architecturally rather than selling the most expensive option, and we give our engineers the autonomy to deliver real solutions for real constraints. How to Apply If you've shipped real LLM deployments with real constraints, we'd like to hear from you. Please submit: Your resume A brief note describing one LLM deployment you've shipped — what model, what infrastructure, what data source, and what went wrong. Data-Sleek® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all contractors.

Conversational AI / LLM Consultant We are looking for a Conversational AI and LLM specialist to support the strategy, design, development, testing, and improvement of AI-powered chatbot and voice automation solutions across multiple business groups. Responsibilities: Help identify, evaluate, and prioritize Conversational AI and LLM use cases across defined business units. Advise on best practices for Conversational AI strategy, LLM architecture, prompt design, orchestration, retrieval, integrations, and development. Recommend improvements across AWS services, Amazon Lex integrations, LLM workflows, and supporting AI infrastructure. Collaborate with the development team on chatbot, voice bot, Lex, and LLM-based implementations and configurations. Conduct QA testing to validate Conversational AI functionality, accuracy, performance, reliability, and user experience. Support the development of solution frameworks, automation workflows, dashboards, application management tools, and fulfillment processes. Assist in designing and extending multilingual Conversational AI solutions in English and Spanish. Support multiple lines of business, call flows, customer journeys, and AI-assisted workflows. Ideal Candidate: Experience with Conversational AI, LLMs, and chatbot or voice automation systems. Familiarity with Amazon Lex and AWS AI services is helpful, but broader LLM architecture experience is equally important. Strong understanding of prompt engineering, AI orchestration, integrations, QA testing, and production AI workflows. Ability to translate business requirements into practical AI-driven solutions. Experience with multilingual conversational design, especially English and Spanish, is a plus.

Microsoft Entra & UPN Migration Expert Job Title Microsoft Entra ID Expert – Domain Migration, Tenant Rename & UPN Conversion (M365 / Azure AD) Job Description We are executing a complex Microsoft 365 identity migration for a mid-size enterprise and are looking for a seasoned Microsoft Entra ID (formerly Azure AD) specialist to provide expert-level guidance, and technical oversight throughout the engagement. Most hands-on configuration will be performed by senior developers. The project involves three interconnected workstreams: • UPN suffix migration — converting all user accounts from a legacy domain (@olddomain.com) to a new primary domain (@newdomain.com), including app dependency remediation, service account handling, and mail flow validation • Identity Provider (IDP) transition — migrating from Okta as the primary IDP to Microsoft Entra ID, with Okta retained as a secondary token-passing relay during the transition period • Primary Domain/MS Tenant rename – migrating the primary Microsoft 365 domain from an old domain to a new domain. The old domain will still exist on the tenant. You will work alongside an existing internal project team and are expected to provide both advisory support and direct technical execution. Scope of Work Identity & UPN Migration • Audit and remediate all applications authenticating via the legacy UPN suffix (SAML, OAuth, OIDC, and legacy auth) • Execute bulk UPN suffix change via PowerShell / Microsoft Graph for all user accounts and applicable service accounts • Validate post-migration authentication across Microsoft 365 workloads (Exchange Online, SharePoint/OneDrive, Teams, OneNote), Okta-federated apps, and third-party SaaS applications • Advise on and assist with OneDrive URL transition, sharing link remediation strategy, and OneNote notebook reconnection • Ensure Proofpoint/mail flow continuity with new primary SMTP domain Entra ID / IDP Configuration • Configure Microsoft Entra ID as primary IDP with Okta as secondary/token-passing relay • Design and implement Conditional Access policy baseline (MFA enforcement, device compliance, location controls, sign-in risk) • Validate and remediate Workday-to-Entra attribute sync and writeback • Validate AWS, Intune, and other Entra-integrated service trust configurations post-UPN change Documentation & Knowledge Transfer • Produce or review runbooks for UPN cutover, IDP flip, and MS Tenant domain rename. • Document rollback procedures for each major phase • Provide a help desk runbook covering common post-cutover user issues (OneDrive sync, OneNote, Teams, shared links, Office Backstage) • Participate in a post-migration health check and lessons-learned review Required Qualifications • 5+ years of hands-on experience with Microsoft Entra ID / Azure Active Directory in enterprise environments • Demonstrated experience with UPN suffix migrations and/or Microsoft 365 tenant/domain renames at scale (500+ users) • Proficiency with PnP PowerShell, Microsoft Graph API, and SPO Management Shell for bulk operations • Experience with Okta-to-Entra IDP migration or Okta federation configuration • Familiarity with Workday-Entra integration (attribute mapping, writeback) is a strong plus • Experience with Windows LAPS, GPO management, and AD OU design • Excellent written English — able to produce clear technical runbooks and decision documentation Preferred Certifications (any of the following) • Microsoft Certified: Identity and Access Administrator Associate (SC-300) • Microsoft Certified: Azure Solutions Architect Expert (AZ-305) • Microsoft Certified: Security Operations Analyst Associate (SC-200) • Microsoft 365 Certified: Enterprise Administrator Expert (MS-102) Engagement Details Project type Ongoing / milestone-based Estimated duration 3–4 months Estimated hours 10–20 hours/week (flexible based on milestone cadence) Availability required Overlap with US Central time zone for weekly syncs Communication Microsoft Teams + email; weekly status call Work type Remote What to Include in Your Proposal To be considered, please address the following in your proposal: 1. Describe a comparable engagement — Detail a UPN suffix migration or IDP transition you led, including the scale (number of users), the tools/methods you used, and any complications you encountered and resolved. 2. Microsoft Tenant/Domain rename – Describe a domain migration project you worked on and lessons learned when converting the domain. 3. Okta + Entra coexistence — Have you worked in an environment where Okta and Entra ID ran simultaneously? How did you handle the token-passing configuration? 4. OneDrive/SharePoint post-UPN remediation — What is your approach to handling broken sharing links and OneNote sync issues after a bulk UPN change? 5. Your hourly rate and estimated availability over the next 90 days. Applications that do not address the proposal questions above will not be reviewed.

**Job Description**
 Join our team to design, secure, automate, and operate a highly available Azure-based SaaS platform. You will partner with Engineering, Product, Data, QA, and Security teams to build scalable cloud infrastructure, improve developer productivity, strengthen security, and ensure platform reliability through automation and observability. **Key Responsibilities** **Cloud Platform & Infrastructure** - Design, deploy, and maintain secure, scalable Azure infrastructure. - Architect resilient solutions supporting high availability, disaster recovery, and business continuity. - Manage core Azure services including App Services, Azure SQL, Storage, Redis, Service Bus, and networking components. **DevOps & Automation** - Build and maintain CI/CD pipelines using Azure DevOps. - Implement Infrastructure as Code using Terraform, Bicep, or ARM templates. - Automate deployments, operational processes, and platform management. - Drive improvements in release reliability, deployment velocity, and operational efficiency. **Containers & Platform Operations** - Deploy and manage containerized workloads using Docker and Kubernetes (AKS preferred). - Optimize platform performance, scalability, security, and reliability. - Support database operations, monitoring, and performance optimization across Azure services. **Observability, Security & Compliance** - Implement monitoring, alerting, and observability using Azure Monitor, Application Insights, Datadog, and related tools. - Manage identity, secrets, and access controls using Microsoft Entra ID and Azure Key Vault. - Support security, compliance, vulnerability management, and audit initiatives. **Platform Engineering** - Improve developer experience through automation and self-service capabilities. - Establish platform standards, documentation, and operational best practices. - Reduce operational overhead through continuous improvement and automation. 
 **Required Qualifications** - 7+ years of experience in DevOps, Cloud Engineering, SRE, or Platform Engineering. - Deep expertise in Microsoft Azure and cloud infrastructure design. - Strong experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code. - Hands-on experience with Docker, Kubernetes, and cloud networking. - Strong scripting and automation skills using PowerShell, Bash, Python, or similar. **Technical Skills** - Required: Azure App Services, Azure SQL, Data Factory, Storage, Redis, Service Bus, Key Vault, Azure Monitor, Entra ID, Azure DevOps, Terraform (preferred), Docker, Kubernetes, Datadog, networking, and automation. - Preferred: Azure Front Door, Cloudflare, ACR, Azure Functions, Event Grid, GitHub Actions, FinOps, AI-assisted operations, and multi-tenant SaaS environments. **Preferred Experience** - Supporting enterprise SaaS platforms in Azure. - Working in regulated environments (SOC 2, HIPAA, or similar). - Implementing cloud security, observability, and operational excellence practices. **Success Metrics** - Secure, scalable, and highly available cloud platform operations. - Reliable and automated deployment processes. - Improved platform performance, observability, and security posture. - Enhanced developer productivity and reduced operational overhead.

Founder-led cloud infrastructure agency specializing in regulated environments healthcare and defense engineering teams. We need a B2B SEO strategist to lead organic growth not a generalist SEO operator. Current state: brand, website, pillar pages, and first content cluster are live. Ranking on page 2 for our primary keyword after 30 days. Ready to invest in real SEO strategy to push to page 1 and build topical authority across our service areas. The work: Strategic audit of current site (pillar page, blog content, technical SEO) 90-day and 12-month content cluster roadmap Keyword research focused on commercial intent and buyer journey Topical authority development across 3-5 content pillars Internal linking architecture and on-page optimization Performance tracking tied to pipeline metrics, not just traffic Content brief development for in-house writing Required: 5+ years SEO experience specifically with B2B SaaS, B2B services, or technical companies Portfolio of case studies showing organic traffic growth and pipeline impact for B2B clients Demonstrated understanding of topical authority, content clusters, and intent mapping Native English communication (US/UK/Canada/Australia preferred) Not a fit: E-commerce, local SEO, or affiliate marketing background Strategy that starts with "keyword research" without commercial context Sub-$50/hour rates Promises of specific ranking outcomes Engagement: Starting at 5-10 hours per week, hourly or fixed-fee per deliverable. Long-term retainer potential for the right partner. Direct access to the founder for briefings and decisions. To apply, share: 2-3 case studies from B2B clients with specific metrics (traffic, rankings, pipeline impact) Your perspective on building topical authority for a new domain in a competitive technical niche Your typical engagement structure and timeline to first results