systems architecture engineer

EverFi

<div>Everfi is a leading education technology company founded in 2008 that delivers digital learning solutions focused on real-world skills. The company provides scalable education in areas such as financial literacy, health and wellness, and workplace readiness.
We are seeking a Cloud Architecture Engineer, Senior Principal to support the reliability, scalability, security, and strategic evolution of EVERFI's PaaS systems, while acting as a force multiplier for the broader engineering organization. The Cloud Architecture Engineer, Senior Principal is expected to operate with a high degree of autonomy, make consequential architectural decisions, and represent cloud infrastructure to senior leadership as needed. 
Cloud Architecture Engineer, Senior Principal Compensation and Benefits
$170,000-$185,000 annual base salary depending on experience and education. Everfi may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations.
This role is eligible to participate in the Corporate Bonus Plan
100% Remote position
Health, Dental, and Vision insurance
401(K) with matching contribution
Generous Paid Time Off (PTO) 
Cloud Architecture Engineer, Senior Principal Responsibilities
Strategic Architecture &amp; Technical Vision<ul><li>
Shape and execute the multi-year cloud architecture strategy for EVERFI's platform, aligning infrastructure direction with business growth, product roadmap, and organizational scalability goals</li></ul><ul><li>
Lead enterprise-wide architecture reviews and establish cloud governance standards, guardrails, and best practices adopted across all engineering teams</li></ul><ul><li>
Identify and evaluate emerging technologies (e.g., AI/ML infrastructure, FinOps, platform engineering tooling) and make forward-looking recommendations to VP and CTO leadership</li></ul><ul><li>
Serve as a technical decision-maker and escalation point for complex, cross-functional cloud architecture challenges</li></ul><ul><li>
Drive the evolution of EVERFI's platform from reactive infrastructure management to proactive, resilience-first platform engineering</li></ul>
Platform Engineering &amp; Infrastructure<ul><li>
Design, build, maintain, and monitor internal PaaS systems in the cloud at enterprise scale &mdash; with a focus on high availability, fault tolerance, and cost efficiency</li></ul><ul><li>
Lead the implementation of geographically redundant, multi-region, and highly available architectures capable of supporting EVERFI's growth trajectory</li></ul><ul><li>
Architect and oversee the full lifecycle of cloud deployment tooling, ensuring CI/CD systems are continuously optimized for speed, safety, and developer experience</li></ul><ul><li>
Design reliable, interoperable components and utility libraries that underpin EVERFI's applications across engineering teams</li></ul><ul><li>
Architect and own a comprehensive metrics, monitoring, and observability system enabling full-stack visibility, proactive incident response, and SLA enforcement</li></ul>
Security, Compliance &amp; Risk<ul><li>
Ensure all cloud environments are designed and administered in accordance with company security guidelines, SOC 2 compliance requirements, FERPA, and applicable data privacy regulations</li></ul><ul><li>
Architect zero-trust networking, identity and access management (IAM), and data encryption frameworks across EVERFI's cloud environments</li></ul><ul><li>
Partner with Security and Legal teams to lead cloud risk assessments and drive remediation of architectural vulnerabilities at the platform level</li></ul>
Cross-Functional Leadership &amp; Influence<ul><li>
Act as a senior technical advisor to Engineering, Product, and Executive leadership on all cloud infrastructure decisions &mdash; translating complex technical tradeoffs into clear business impact</li></ul><ul><li>
Champion engineering culture: establish and promote best practices for reliability, performance, and operational excellence across all teams consuming cloud infrastructure</li></ul><ul><li>
Build training programs, playbooks, and knowledge resources that upskill engineering teams on cloud operations, architecture patterns, and performance optimization</li></ul><ul><li>
Represent the Cloud Architecture function in cross-functional planning, capacity modeling, and strategic workforce design discussions</li></ul>
Mentorship &amp; Talent Development<ul><li>
Provide mentorship, technical guidance, and career development support to Principal, Staff, and Senior Engineers on the Cloud Architecture team and adjacent teams</li></ul><ul><li>
Participate in hiring, technical interviews, and calibration discussions as needed</li></ul><ul><li>
Participate in an on-call rotation to provide emergency incident support as needed, modeling expected standards of operational excellence for the team</li></ul> 
Cloud Architecture Engineer, Senior Principal Qualifications<ul><li>
Bachelor's Degree in Computer Science, Engineering, or equivalent combination of education and experience required; Master's degree strongly preferred</li></ul><ul><li>
10+ years of progressive professional experience in cloud infrastructure, platform engineering, or systems architecture</li></ul><ul><li>
Minimum 3&ndash;5 years of experience operating at the Principal or Staff Engineer level, with demonstrated ownership of enterprise-wide architectural decisions</li></ul><ul><li>
Proven track record of leading large-scale cloud transformations, platform modernizations, or migrations in high-growth SaaS environments</li></ul><ul><li>
Experience in EdTech, FinTech, or compliance-heavy industries strongly preferred</li></ul>
Certifications (Preferred)<ul><li>
AWS Solutions Architect &ndash; Professional (or equivalent Azure/GCP professional-level certification)</li></ul><ul><li>
AWS Security Specialty or Certified Cloud Security Professional (CCSP)</li></ul><ul><li>
Kubernetes Administrator (CKA) or equivalent</li></ul>
Technical Skills<ul><li>
Cloud Platforms: Deep expertise in AWS (required); hands-on experience with Azure and/or GCP preferred</li></ul><ul><li>
Infrastructure as Code: Terraform, AWS CloudFormation, Pulumi, or CDK at enterprise scale</li></ul><ul><li>
Containerization &amp; Orchestration: Docker, Kubernetes (EKS/AKS/GKE), Kafka</li></ul><ul><li>
CI/CD &amp; DevOps: Advanced pipeline design with Jenkins, GitHub Actions, ArgoCD, or equivalent</li></ul><ul><li>
Networking &amp; Security: TCP/IP, DNS, SMTP, HTTP, VPCs, zero-trust architecture, WAF, distributed networks</li></ul><ul><li>
Programming &amp; Scripting: Python, Go, Ruby on Rails, or Bash (proficiency in at least two)</li></ul><ul><li>
Data &amp; Storage: SQL and NoSQL (Postgres and equivalents); familiarity with data lake and lakehouse architectures</li></ul><ul><li>
Observability: Datadog, New Relic, Prometheus/Grafana, or equivalent full-stack observability platforms</li></ul><ul><li>
AI/ML Infrastructure: Familiarity with cloud-native AI/ML infrastructure (SageMaker, Vertex AI, or equivalent) preferred</li></ul><ul><li>
Open-Source Ecosystem: Extensive experience contributing to and consuming open-source tooling in production environments</li></ul><ul><li>
Web Services &amp; APIs: Expert-level knowledge of REST, RPC, SOA, and API design principles</li></ul></div>

Cloud Architecture Engineer, Senior Principal

ACTIVE8 WIRELESS

Location: Karachi | Night Shift (US Operations Alignment)Job SummaryWe are hiring a Senior Full Stack Engineer / Solution Architect to build and scale internal platforms that power a 500+ retail store operation in the US.This role combines hands-on development with system architecture and technical leadership, focused on building internal portals, workflow systems, automation tools, and enterprise integrations.You will play a key role in developing the digital backbone of the organization, driving efficiency, automation, and data-driven operations.Key Responsibilities<ul><li>Design and develop internal portals, dashboards, and workflow systems</li><li>Architect and build scalable backend services and APIs</li><li>Develop automation tools (bots, scripts, RPA) to reduce manual work</li><li>Design and manage databases and data models</li><li>Integrate with third-party systems (CRMs, telecom systems, payment systems, APIs)</li><li>Implement approval workflows, role-based access, and audit systems</li><li>Ensure systems are secure, scalable, and high-performing</li><li>Collaborate with business teams (operations, finance, HR) to translate requirements into systems</li><li>Lead code reviews, architecture decisions, and best practices</li><li>Support deployment, monitoring, and continuous improvement</li></ul>Tech StackBackend<ul><li>.NET Core / ASP.NET Core OR Java (Spring Boot)</li><li>REST APIs (JSON), SOAP (as needed)</li><li>Microservices architecture</li></ul>Frontend<ul><li>React.js / Next.js (preferred) OR Angular / Vue</li><li>HTML5, CSS3, JavaScript (ES6+)</li></ul>Database<ul><li>SQL Server / PostgreSQL / MySQL</li><li>Database design, optimization, and performance tuning</li></ul>Automation &amp; Integration<ul><li>RPA tools (Automation Anywhere, UiPath) or custom automation scripting</li><li>API integrations (REST/SOAP)</li><li>Workflow engines (plus)</li></ul>DevOps &amp; Tools<ul><li>Git (GitHub / GitLab / Bitbucket)</li><li>CI/CD pipelines</li><li>Docker (preferred)</li><li>Cloud platforms (AWS / Azure / GCP &ndash; exposure preferred)</li></ul>Architecture (Preferred)<ul><li>Event-driven systems (Kafka, RabbitMQ)</li><li>Enterprise systems (ERP, CRM, POS, Inventory)</li></ul>Experience Requirements<ul><li>5&ndash;10+ years of software development experience</li><li>Proven experience building:</li><li>Internal portals or enterprise applications</li><li>Workflow/approval systems</li><li>Automation tools or integrations</li><li>Strong experience in API design and database systems</li><li>Experience in retail, telecom, or high-volume transaction environments is a plus</li><li>Experience working with distributed or offshore teams</li></ul>Role Structure (Important)We are open to hiring at two levels depending on experience:1. Senior Full Stack Engineer (Execution-Focused)<ul><li>Strong hands-on coding experience</li><li>Builds and delivers systems end-to-end</li><li>Works under defined architecture</li></ul>2. Solution Architect / Lead Engineer (Architecture-Focused)<ul><li>Defines system architecture and technical standards</li><li>Oversees multiple systems and integrations</li><li>Mentors team and reviews code</li><li>Drives scalability, security, and long-term design decisions</li></ul>Candidates will be evaluated and placed based on experience and capability.Ideal Candidate<ul><li>Strong problem-solving mindset with business understanding</li><li>Able to work in fast-paced, evolving environments</li><li>Balances speed, quality, and scalability</li><li>Experience managing or mentoring small to mid-sized teams</li><li>Ownership-driven with focus on impact, not just development</li></ul>Nice to Have<ul><li>Experience with AI integrations or automation platforms</li><li>Exposure to analytics/reporting systems</li><li>Experience with multi-entity or intercompany systems</li><li>Familiarity with low-code/no-code tools</li></ul>What You&rsquo;ll Be Building<ul><li>Systems used across 500+ retail stores in the US</li><li>Internal tools for:</li><li>Operations management</li><li>Revenue tracking &amp; reconciliation</li><li>Inventory &amp; workflow automation</li><li>Employee and financial processes</li></ul>Why Join Us<ul><li>Work on large-scale, real-world business systems</li><li>High ownership and visibility</li><li>Opportunity to shape the core technology platform</li><li>Direct impact on operational efficiency and growth</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthWork Location: In person

Senior Full Stack Engineer / Solution Architect (Enterprise Systems & Automation)

cFocus Software Incorporated

<div><h1 class="jobSectionHeader">Cybersecurity Engineer - Sr. Job Description</h1>
Position Title: Cybersecurity Engineer Sr 
Program: SBA Enterprise Cybersecurity Services (ECS)<h2 class="jobSectionHeader">
Position Summary</h2>
The Cybersecurity Engineer - Sr. supports the Small Business Administration (SBA) Enterprise Cybersecurity Services (ECS) program by delivering advanced cybersecurity engineering, security operations, systems hardening, cloud security, zero trust architecture, and enterprise cyber defense support services. 
The Cybersecurity Engineer - Sr. serves as a senior technical leader responsible for designing, implementing, integrating, securing, and optimizing enterprise security architectures across on-premises, cloud, hybrid, and SaaS environments. The position supports 24x7x365 Security Operations Center (SOC) activities and works closely with federal stakeholders, engineers, SOC analysts, architects, incident responders, and program leadership to enhance the cybersecurity posture of SBA enterprise systems and critical assets.<h2 class="jobSectionHeader">
Essential Duties and Responsibilities</h2><ul><li>
Provide senior-level cybersecurity engineering support for SBA ECS enterprise cybersecurity operations.</li><li>
Support Task Areas 3.5.3 and 3.5.3.9 by designing, implementing, and maintaining secure enterprise security architectures and cybersecurity engineering solutions.</li><li>
Develop and maintain cybersecurity engineering standards, architecture diagrams, implementation strategies, and technical security documentation.</li><li>
Engineer and implement security controls aligned with NIST, FISMA, Zero Trust Architecture (ZTA), and federal cybersecurity requirements.</li><li>
Design, integrate, configure, and support security technologies including SIEM, SOAR, IDS/IPS, EDR, DLP, MFA, PKI, NAC, firewalls, secure web gateways, and cloud-native security solutions.</li><li>
Provide advanced engineering support for Microsoft Azure, Microsoft 365, AWS, hybrid cloud, and enterprise network environments.</li><li>
Support cybersecurity monitoring, detection, containment, remediation, and recovery activities within the SOC environment.</li><li>
Perform enterprise systems hardening, vulnerability remediation, security baseline implementation, and secure configuration management.</li><li>
Conduct cybersecurity architecture assessments, threat modeling, security engineering reviews, and technical risk analysis activities.</li><li>
Support implementation and optimization of Zero Trust security capabilities including identity security, micro-segmentation, continuous monitoring, and least privilege access models.</li><li>
Design and implement cybersecurity solutions supporting cloud migration, DevSecOps, container security, and automation initiatives.</li><li>
Support incident response investigations by providing engineering expertise, log analysis, root cause analysis, and remediation recommendations.</li><li>
Collaborate with cybersecurity operations teams to develop detection logic, security use cases, automated workflows, and threat response procedures.</li><li>
Perform system security engineering activities throughout the system development lifecycle (SDLC) and support Authority to Operate (ATO) initiatives.</li><li>
Develop and maintain security architecture roadmaps, engineering plans, and technology modernization strategies.</li><li>
Perform security engineering analysis of enterprise applications, APIs, databases, cloud services, and network infrastructures.</li><li>
Support cybersecurity compliance efforts related to NIST SP 800-53, NIST SP 800-171, FedRAMP, CISA guidance, and federal cybersecurity mandates.</li><li>
Provide technical leadership and mentoring to junior cybersecurity engineers, SOC personnel, and technical staff.</li><li>
Prepare technical reports, engineering documentation, executive briefings, and operational recommendations.</li><li>
Research emerging cyber threats, adversary tactics, and evolving security technologies to improve enterprise defense capabilities.</li></ul><h2 class="jobSectionHeader">
Minimum Qualifications</h2><ul><li>
Bachelor&rsquo;s degree in Cybersecurity, Computer Science, Information Technology, Information Assurance, Systems Engineering, or related discipline. Relevant experience may substitute for degree requirements.</li><li>
Minimum of 10 years of experience supporting cybersecurity engineering, cybersecurity operations, enterprise security architecture, or SOC environments.</li><li>
Demonstrated experience designing and implementing enterprise cybersecurity architectures and engineering solutions.</li><li>
Hands-on experience with SIEM, SOAR, EDR, IDS/IPS, firewalls, vulnerability management, IAM, cloud security, and security automation technologies.</li><li>
Strong knowledge of NIST cybersecurity frameworks, federal security standards, and Zero Trust Architecture principles.</li><li>
Experience supporting Microsoft Azure, Microsoft 365, AWS, hybrid cloud, and enterprise network infrastructures.</li><li>
Experience performing system hardening, secure configuration management, and vulnerability remediation.</li><li>
Knowledge of incident response methodologies, MITRE ATT&amp;CK framework, cyber kill chain concepts, and adversary TTP analysis.</li><li>
Experience supporting RMF, ATO, continuous monitoring, and federal cybersecurity compliance activities.</li><li>
Strong analytical, troubleshooting, technical writing, and communication skills.</li><li>
Ability to present technical findings and cybersecurity recommendations to executive leadership and technical stakeholders.</li></ul><h2 class="jobSectionHeader">
Preferred Certifications</h2><ul><li>
Certified Information Systems Security Professional (CISSP)</li><li>
Certified Cloud Security Professional (CCSP)</li><li>
GIAC Certified Enterprise Defender (GCED)</li><li>
GIAC Security Expert (GSE)</li><li>
Certified Ethical Hacker (CEH)</li><li>
CompTIA Security+</li><li>
CompTIA CySA+</li><li>
AWS Certified Security &ndash; Specialty</li><li>
Microsoft Certified: Cybersecurity Architect Expert</li><li>
Cisco Certified CyberOps Professional</li></ul>
Q92uPhlSIK</div>

SBA - Cybersecurity Engineer - Sr

MSI Defense Solutions

<div>Position Overview
The Chief Engineer &ndash; Weapons Integration (WI) serves as MSI's senior technical authority for system architecture, weapons integration, and program-specific engineering design across all current and future weapons integration efforts.
This is MSI's most critical technical leadership position. The Chief Engineer - WI defines and governs the technical approach across weapons programs, with direct responsibility for weapon system architecture, effector and sensor integration, fire control interfaces, gimbal and EO-IR systems, and mission capability development. This role carries the technical credibility of MSI in front of government program offices, prime partners, and international customers.
This is a hands-on engineering leadership role, not an advisory or oversight position. The Chief Engineer - WI is expected to be on the shop floor reviewing hardware, in the lab validating integration approaches, and at the workstation reviewing designs - not just directing from a conference room. MSI does not employ consultants in leadership roles. Leaders at MSI build, solve, and deliver alongside their teams.
The Chief Engineer &ndash; Weapons Integration works in close coordination with the Director of Engineering Operations and the Lead Suspension and Mobility Engineer, with all three roles operating as peers with distinct areas of ownership. The Chief Engineer Weapons Integration is responsible for architecture, integration design, and technical authority over weapons programs; the Director of Engineering Operations owns engineering process execution, configuration management, test infrastructure, sustaining engineering, and manufacturing engineering support; and the Lead Suspension and Mobility Engineer oversees all mobility and suspension programs. Shared resource requests across these functions are arbitrated by the Vice President of Engineering. The roles are expected to sync weekly on cross-cutting priorities, and none has authority over the others' direct reports.
The Chief Engineer &ndash; WI also works in close partnership with the VP/GM Air Defense Programs, who owns program execution, customer relationships, and fielding. The Chief Engineer-WI provides technical authority; the VP/GM owns schedule, cost, and delivery. Together, they represent MSI's ability to execute weapons integration programs from design through fielding.
This position reports to the Vice President of Engineering.
The position requires a full-time work week spent in the shop and office. Normal hours are Monday through Thursday 7:00 AM &ndash; 4:30 PM and Friday 7:00 AM &ndash; 12:00 PM. Travel will be required for customer engagements, technical interchanges, test events, and program reviews. Most time will be spent at the main office in Mooresville, NC.
Key Responsibilities
Technical AuthorityArchitecture<ul><li>
Serve as the technical authority across all weapons integration programs.</li><li>
Define and govern system-level architecture, including:<ul><li>
Weapons system design frameworks and integration strategies</li><li>
Effector, sensor, gimbal, and EO-IR integration</li><li>
Fire control interfaces, data flows, and system performance requirements</li><li>
Embedded controls and motion system architecture</li></ul></li><li>
Establish engineering design standards, best practices, and technical review processes for weapons programs.</li><li>
Lead design reviews (PDR, CDR), trade studies, and technical decision-making across programs.</li><li>
Own the system-of-systems view across MSI's weapons integration portfolio and ensure architectural coherence across platforms.</li></ul>
Program Technical Leadership<ul><li>
Provide hands-on technical leadership for weapons integration programs. This means personally reviewing designs, working integration problems at the bench level, validating test results, and being present on the shop floor during critical builds - not delegating technical decisions through layers of process. Ensure:<ul><li>
Designs meet customer requirements, mission objectives, and DoD acquisition standards</li><li>
Technical risks are identified, mitigated, and communicated early.</li><li>
Solutions are scalable, manufacturable, and supportable across both U.S. and international configurations.</li></ul></li><li>
Partner with Program Management and the VP/GM Air Defense Programs to ensure alignment between technical execution, cost targets, and schedule constraints.</li><li>
Represent MSI's technical credibility in Technical Interchange Meetings (TIMs), source selection discussions, and government program reviews.</li></ul>
External EngagementBusiness Development Support<ul><li>
Collaborate with the VP/GM Air Defense Programs and Business Development to:<ul><li>
Develop credible and competitive technical solutions for proposals and capture efforts</li><li>
Support customer engagements, briefings, and technical discussions with government program offices, PEOs, and international customers</li><li>
Shape requirements and influence acquisition strategies in MSI's favor</li></ul></li><li>
Contribute to technical volumes, Basis of Estimate (BOE) development, concept development, and solution shaping.</li><li>
Represent MSI at industry conferences, technical symposia, and government forums as a subject matter expert in weapons integration and counter-UAS systems.</li></ul>
IntegrationCross-Functional Alignment<ul><li>
Work across Engineering, Production, Operations, and Supply Chain to ensure:<ul><li>
Designs are producible and aligned with manufacturing capabilities</li><li>
Materials, components, and subsystems meet integration requirements</li></ul></li><li>
Coordinate with the Director of Engineering Operations on design-to-production handoffs, test resource sharing, and engineering process alignment.</li><li>
Provide technical guidance to ensure successful transition from development to production and fielding.</li></ul>
Engineering ExcellenceStandards<ul><li>
Establish and enforce high standards for weapons program engineering, including:<ul><li>
Design quality and technical rigor</li><li>
Documentation completeness and accuracy</li><li>
Verification and validation planning and execution</li></ul></li><li>
Drive continuous improvement in engineering methodologies, tools, and integration processes.</li><li>
Ensure all technical outputs support Program of Record readiness and can withstand government technical review.</li></ul>
MentorshipTechnical Leadership Development<ul><li>
Directly lead and mentor the weapons integration engineering team, including weapons integration engineers, systems integration and test engineers, and dedicated mechanical designers. Mentorship at MSI means working alongside the team, not reviewing their work from a distance.</li><li>
Develop the next generation of technical leadership within MSI's engineering department.</li><li>
Serve as a thought leader and subject matter expert in weapons integration, counter-UAS systems, and modular air defense architectures.</li></ul>
Skills and Qualifications Required<ul><li>
Bachelor of Science in Engineering (required); advanced degree preferred.</li><li>
10+ years of progressively responsible experience in engineering with demonstrated leadership in weapons systems, integration, or complex defense system design.</li><li>
Deep expertise in weapons system architecture, effector and sensor integration, and complex system design and trade studies.</li><li>
Demonstrated experience serving as a technical authority or lead engineer on complex defense programs.</li><li>
Strong understanding of defense acquisition processes, integration challenges, and operational mission requirements.</li><li>
Experience with gimbal systems, EO-IR sensors, embedded motion control, or stabilized platform design strongly preferred.</li><li>
Ability to represent MSI's technical credibility in front of government program offices.</li><li>
Hands-on engineering leader who leads from the front. Must be willing and able to personally review hardware on the shop floor, troubleshoot integration issues at the bench, and work technical problems directly - not solely through delegation or process. MSI does not employ engineering executives who operate as consultants.</li><li>
Strong communication skills with the ability to translate complex technical architecture into strategic narratives for senior military, government, and industry audiences.</li><li>
Proficiency with engineering tools including Creo, Microsoft Office, and standard engineering data management systems.</li><li>
Must be a US Citizen and able to obtain a Security Clearance.</li></ul>
Physical Requirements<ul><li>
Prolonged periods of sitting at a desk and working on a computer.</li><li>
Must be able to lift 15 pounds at times.
</li><li>Must be able to access and navigate each department at the organization's facilities.
</li><li>Must be able to support field test events and customer demonstrations, which may involve outdoor environments and extended hours.</li></ul>
Benefits<ul><li>
401(k) with employer match</li><li>
Dental Insurance</li><li>
Disability Insurance</li><li>
Health Insurance</li><li>
Vision Insurance</li><li>
Paid Parental and Maternity Leave
</li><li>Life Insurance</li><li>
Paid Time Off &ndash; 120 hours per year to start (prorated in first year of employment)</li><li>
Continuing Education</li><li>
Annual Year End Paid Holiday Closure</li></ul>
Classification<ul><li>
Position is full-time, Exempt</li></ul>
MSI Defense Solutions is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.</div>

Chief Engineer, Weapons Integration

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.
What we are building &mdash; now:<ul><li>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</li><li>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</li><li>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</li><li>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</li><li>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</li><li>
AI-enabled situational awareness and crisis management systems</li><li>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing
governance operations the organization requires</li></ul>
How we work:<ul><li>
Small team, high ownership &mdash; every engineer owns a module end-to-end</li><li>
Two-week sprints with demonstrated output at every review</li><li>
Ship and improve &mdash; working systems beat perfect designs</li><li>
Core team owns all architecture and product decisions; external capacity executes within defined scope</li><li>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</li><li>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</li><li>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</li></ul>
</div><div>Owns the API architecture &mdash; every dashboard panel, every workflow, every integration runs through what you design.
Mission
You are the senior backend engineer and the architect of the API layer that all frontends, agents, and integrations depend on. You design the API contracts, the authentication flow, the workflow state machines, and the integration patterns. You build the core services yourself. Near-term: the FastAPI service powering the executive portal &mdash; all endpoints for budget data, KPIs, approvals, action tracking, and role-based access. Medium-term: the API backbone for crisis management systems, agent service endpoints, communications dispatch, and enterprise system integration contracts.
What This Role Owns<ul><li>
API architecture: endpoint design, request/response contracts, versioning strategy, error standardization, OpenAPI spec generation</li><li>
Authentication and authorization: Azure AD SSO, MFA enforcement, role-based access control (executive read-only, operational read/write, admin)</li><li>
Workflow state machines: approval flows, posture transitions, action tracking &mdash; with immutable audit logging at every transition</li><li>
Session management: Redis-backed sessions, token refresh, expiry handling</li><li>
Integration design: patterns for connecting to enterprise systems at the application layer</li><li>
Agent service endpoints: backend services that AI agents call &mdash; tool endpoints, data retrieval, action execution</li><li>
Communications integration: email dispatch, messaging APIs, notification services</li><li>
Test coverage: unit tests, integration tests, and contract tests across all API endpoints</li></ul>
Key Decisions<ul><li>
API contract &mdash; endpoint naming, schemas, HTTP status codes, error format</li><li>
Authentication flow &mdash; token lifecycle, MFA enforcement points, role hierarchy</li><li>
Workflow state transitions &mdash; what is permitted, logged, irreversible</li><li>
Rate limiting, throttling, and idempotency design</li><li>
Technology choices within the approved backend stack</li></ul>
Does Not Do<ul><li>
Build or manage data ingestion pipelines (Data Platform Engineers)</li><li>
Write AI prompts or call LLM APIs directly (AI Engineer)</li><li>
Build frontend components (Full Stack Engineer)</li><li>
Define the database schema (Principal Data Architect)</li><li>
Define governance policies (Governance Lead)</li></ul>
Ideal Candidate
Has designed and built a multi-role, authenticated REST API consumed by a frontend team that understood it the next morning without a walkthrough. Owns the API contract as a product &mdash; clear naming, consistent errors, auto-generated docs. Thinks carefully about state: no unlogged transitions, no silent failures, no ambiguous 200 responses. Fast &mdash; can scaffold a working FastAPI service with auth, DB, and Redis in a day.
</div><div><ul><li>10+ years of experience with Python 3.10+ - type hints, async/await, exception handling</li><li>
FastAPI &mdash; async handlers, dependency injection, Pydantic models, middleware</li><li>
PostgreSQL &mdash; ORM (SQLAlchemy), raw query optimization, transaction management</li><li>
Azure AD &mdash; OAuth 2.0, JWT validation, MSAL, RBAC</li><li>
Redis &mdash; session store, distributed lock patterns, caching</li><li>
REST API design &mdash; versioning, error standardization, OpenAPI spec generation</li><li>
Docker + Azure App Service deployment</li><li>
GitHub Actions CI/CD</li><li>
pytest &mdash; unit and integration test coverage</li><li>
State machine design for multi-step workflows</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

Backend / Systems Engineer

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.
What we are building &mdash; now:<ul><li>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</li><li>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</li><li>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</li><li>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</li><li>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</li><li>
AI-enabled situational awareness and crisis management systems</li><li>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing
governance operations the organization requires</li></ul>
How we work:<ul><li>
Small team, high ownership &mdash; every engineer owns a module end-to-end</li><li>
Two-week sprints with demonstrated output at every review</li><li>
Ship and improve &mdash; working systems beat perfect designs</li><li>
Core team owns all architecture and product decisions; external capacity executes within defined scope</li><li>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</li><li>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</li><li>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</li></ul>
</div><div>Builds the AI capabilities that operations depend on &mdash; classification automation, production agents, and the data bridge to the agentic platform.
Mission
Build, own, and continuously improve the AI capabilities across the office's production systems, working under the direction of the Principal AI Engineer. Your scope: automated data classification (remediating what's currently broken), AI-generated briefings, and operational AI agents that deliver real value in weeks.
An external partner is building an agentic platform that ATRC will use. Your role in that relationship: define the data contracts the platform consumes, evaluate the sample agents delivered, and build the production agents on top of the platform that go beyond demonstrations into real operational use. You don't build the platform &mdash; you make sure ATRC's data is ready for it and that what gets built on top of it actually works.
What This Role Owns<ul><li>
Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance</li><li>
Lead Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</li><li>
Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</li><li>
AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</li><li>
Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</li><li>
Prompt versioning: templates in configuration, editable without code changes</li><li>
Observability: every LLM call logged with input hash, model version, output, latency, token count</li><li>
Fallback logic: graceful degradation when LLM APIs are unavailable</li><li>
Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</li></ul>
Key Decisions<ul><li>
Prompt implementation &mdash; few-shot examples, output parsing, error handling</li><li>
Confidence threshold tuning based on evaluation results</li><li>
Context window packing &mdash; what data fits within token budgets</li><li>
Fallback behavior when APIs degrade</li><li>
Agent evaluation &mdash; whether an external partner's sample agent is production-ready or needs rework</li><li>
Bug triage for AI components &mdash; autonomous fix vs. escalate to Principal AI Engineer</li></ul>
Does Not Do<ul><li>
Define AI architecture or agent design patterns (Principal AI Engineer)</li><li>
Build the agentic platform itself (external partner)</li><li>
Build the backend API or data pipelines</li><li>
Fine-tune or train models</li><li>
Define governance policies (Governance Lead)</li></ul>
Ideal Candidate
Has shipped an LLM-based feature that non-technical users depend on daily &mdash; and has been responsible when it breaks. Knows the hardest part of applied AI is the fallback, the observability, and the human review loop &mdash; not the prompt. Can evaluate someone else's agent demo and quickly identify whether it's production-ready or held together with string. Works well under a senior AI lead &mdash; takes architectural direction and executes with high quality and speed. Not attached to a particular model &mdash; the job is reliable output.
</div><div><ul><li>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</li><li>
Prompt engineering for classification &mdash; zero-shot and few-shot</li><li>
Python &mdash; async API calls, retry logic, exponential backoff</li><li>
LLM evaluation &mdash; precision/recall, human-AI agreement scoring</li><li>
Structured output &mdash; JSON schema enforcement, Pydantic validation</li><li>
Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</li><li>
Token budgeting and context window management</li><li>
AI observability &mdash; output quality monitoring, anomaly detection</li><li>
FastAPI and Docker</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

AI Engineer

RedCloud Technologies

<div>About RedCloud
The global supply chain is broken&mdash;creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves. The result? Higher prices, slower growth, and lost opportunity across the board.
RedCloud is fixing this. Our RedAI digital trading platform, bulk and retail trading exchanges connect key parts of the supply chain&mdash;enabling bulk inventory exchange, streamlined digital payments, and generating vast quantities of aggregated market data. By applying AI and machine learning techniques, we deliver predictive market insight and trading recommendations straight back to the trading environment&mdash;facilitating smarter everyday business decisions for our customers, from factory to warehouse to store.
Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning many nationalities and operations across Africa, the Middle East, Europe, and Latin America. We&rsquo;re building a more connected and efficient global trade network. Our AI labs are busy exploring the next generation of smart AI agents and deeper FMCG market intelligence for the benefit of our customers across a growing operational footprint.
The role:
A Senior Software Engineer solves challenges and adds value for our customers through their skills in technology. They investigate and resolve issues in our systems in a timely fashion. As a senior engineer within the team they are expected to give guidance, mentoring and where necessary training to juniors and/or new members of the team acting as the voice of experience, whilst still being open to learning from others. The Senior Engineer exemplifies our company values and is a consistent high performer delivering value on the most complex areas on a daily basis. They understand the architecture of the systems and are able to work with Engineering Managers and Product Managers to define and document architecture for new areas of the system, aligning to RedCloud&rsquo;s architecture strategies. They are expected to keep their technical knowledge up to date in the RedCloud Sphere of platforms, tools and languages.
What you&rsquo;ll be doing:<ul><li>
Deliver Features and bug fixes in our software platforms for our customers.</li><li>
Investigate and resolve bugs in our systems.</li><li>
Respond to production outages and issues in our systems..</li><li>
Estimate features and bugs within estimation sessions alongside the team.</li><li>
Design end to end feature areas that fit into the overall RedCloud architecture patterns.</li><li>
Refine features delivered by product managers.</li><li>
Carry out code reviews / Pull-request reviews for other engineers, ensuring quality on code.</li><li>
As a senior member of the team train and learn latest technologies adopted by RedCloud suggesting future libraries and patterns we should be looking at as a business.</li><li>
Mentor all levels of engineers and new starters in the team, as their RedCloud buddy. Ensure they have all they need to succeed within your team.</li></ul>
What you&rsquo;ll need:<ul><li>
At least 6+ years of experience in software engineering, with strong proficiency in C#, .NET Core, AWS, Node.JS, Databases (SQL, NoSQL)</li><li>
Strong problem-solving skills and the ability to break down complex challenges into manageable, actionable tasks.</li><li>
Excellent communication skills, with a collaborative approach to working within diverse teams.</li><li>
A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches.</li></ul>
Check out the links below to see what our CEO Justin Floyd has to say about our plans for growth for the year ahead, and to see our latest video on the mission we&rsquo;re on!
https://youtu.be/8BmLoJ9U9vA
https://youtu.be/59PD4UoTgIE</div>

Senior Software Engineer

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