Devops Engineer jobs at defi SOLUTIONS

DevOps Engineer | Direct Hire | Hybrid x2 day on-site | Charlotte, NC Optomi, in partnership with a leading insurance organization, is seeking an accomplished Senior DevOps Engineer to join their team. This role offers the opportunity to leverage cloud technologies to accelerate value delivery to customers and drive innovation across the organization. The Senior DevOps Engineer will play a critical role in shaping and enhancing development practices by defining and implementing best practices, patterns, and automation strategies. This individual will lead efforts to design, improve, and sustain continuous integration and delivery pipelines while providing hands-on technical oversight to ensure projects align with organizational strategy, architecture, and methodologies. Acting as both a technical leader and trusted advisor, the Senior DevOps Engineer will bring thought leadership in modernization, technology advancement, and application lifecycle management, while also providing expert consulting, mentorship, and guidance to organizational leaders and development teams. What the right candidate will enjoy! Direct Hire full-time opportunity Flexible hybrid schedule Acting as a leader in modernization, technology advancement, and application lifecycle management Driving efficient development practices and influencing best practices and patterns across teams Experience of the right candidate: Over 7 years of experience in applications development More than 5 years of experience designing DevOps pipelines using tools and technologies including Azure DevOps, SonarQube, and YAML In-depth knowledge of Azure services including but not limited to Azure Compute, Azure Storage, Azure Networking, Azure App Service, Logic Apps, VMSS, and Azure Security Proficiency in Azure DevOps and building CI/CD pipelines, including Azure environment provisioning tasks Experience with Infrastructure as Code (IaC) using tools such as Azure Resource Manager (ARM) templates, Terraform, Puppet, or Ansible Experience with scripting languages such as Bicep, PowerShell, Bash, or Python Demonstrated experience in cloud cost optimization, governance, and implementing FinOps practices Strong leadership and influencing skills with the ability to drive change and foster a DevOps culture across teams Experience designing and implementing disaster recovery strategies and high-availability architectures in cloud environments Self-starter who is capable of working independently and making decisions when necessary/as applicable Strong verbal, written, and interpersonal communication and the ability to communicate with audiences at varying technical levels Preferred: Experience working in an Agile environment, preferably SAFe Preferred: Azure certifications such as Azure Administrator Associate, Azure DevOps Engineer Expert Preferred: Experience in Application Security / DevSecOps roles Responsibilities of the right candidate: Design and oversee the implementation of cloud-based architecture, networking, and containerization, utilizing Infrastructure-as-Code for automation and patterns Lead the creation and deployment of CI/CD and other automation solutions, focusing on design patterns that emphasize reuse, scalability, performance, availability, and security Develop and enhance process flows, release pipeline documentation, mockups, and other materials to convey technical details and their alignment with desired outcomes Conduct technical evaluations of DevOps solutions, understand existing industry options, and design necessary custom system integrations Serve as a strategic thinker, thought leader, internal consultant, advocate, mentor, and change agent for DevOps architecture within development teams Measure and demonstrate the benefits and business value of DevOps improvements Present innovative and complex solutions and ideas to participants at all levels, working both as a leader and an individual contributor Identify customer, business, and technology needs through relationship building and communication with key stakeholders Identify gaps and propose modernization opportunities that involve both process and technical/automation aspects of the SDLC Debug and troubleshoot issues with new and existing CI/CD pipelines

I'm hiring an AI Product Engineer for a fast-growing AI start-up that's building agents to automate financial crime workflows. Their tech works like a real analyst inside a browser and internal tools, helping banks cut huge amounts of manual work and stop fraud more effectively. They're small, highly technical, and already seeing strong traction with major institutions. In this role, you'll work across the stack, build end-to-end features, shape new agent capabilities, and help ship production systems that have real impact for customers. We're looking for engineers who: Love building quickly and owning problems end to end Have experience with production systems or AI/ML workflows Communicate clearly and enjoy working with minimal process Want to push what's possible with AI agents in the real world Minimum Bachelor's degree in Computer Science (or adjacent) Their stack is Python, Node, React and Typescript (not a dealbreaker to be experienced with these!) Apply or reach out directly if you're interested!

Who are we? Whatfix is an AI platform advancing the “userization” of enterprise applications, empowering companies to maximize the ROI of their digital investments. Technology needs adoption. It's no different for AI. As AI reshapes roles, workflows, and human-machine interactions, it also introduces new layers of complexity and user friction. This is where Whatfix plays a pivotal role. A decade old DNA of empowering people to succeed with technology and not replacing them. We call this philosophy Userization: the belief that technology must adapt to the user, not the other way around. At the heart of userization philosophy is ScreenSense, our proprietary AI engine, which continuously interprets both the context of what users are doing in an application or an AI tool and the intent behind their actions. By combining these signals, Whatfix delivers real-time guidance, nudges, knowledge, and automation directly in the flow of work. This intelligence powers our entire product suite. Digital Adoption helps users get productive faster. Product Analytics uncovers friction and closes adoption gaps. Mirror allows employees to train in safe, simulated environments. These are ur embedded with Whatfix AI Agents which supercharge creation, insights, and user guidance. Our upcoming AI-first products are already creating a buzz in the market. Seek is an AI-native assistant that not only knows your business context but can also act across applications to get work done on your behalf. Whatfix Mirror 2.0 is the world's only System plus Role simulation with a complete assessment to lead the Gen AI simulation category. Together, these products reflect Whatfix's commitment to building enterprise-ready AI teammates that maximize productivity and ROI. It gives users a unified, intelligent way to find answers across systems, apps, and knowledge silos and helps anyone looking to deliver fast and contextual answers. Whatfix is bridging the gap between rapid technological change and human enablement-ensuring AI is not only embedded but also usable, trusted, and outcome-driven for every employee. At Whatfix, we're not just making software easier-we're making AI work for people. The company has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries. Customers: 700+ enterprise customers, including 80+ Fortune 500 companies such as Shell, Schneider Electric, and UPS Supply Chain Solutions. Investors: A total of ~$270 million USD has been raised as yet. Most recently Series E round of $125 Million USD led by Warburg Pincus, with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer, Peak XV Partners, and Stellaris Venture Partners. Whatfix's leadership is consistently recognized across top industry analysts and business rankings: Won the 2025 AI Breakthrough Award for the Overall AI-based Analytics Solution of the Year Only DAP to be recognized as a “Leader” across various DAP reports for the past 5+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group. With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards. Named a Gartner Customers' Choice for DAP for the second year in a row (2024 and 2025)-the only vendor in the market to earn this distinction consecutively. We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a super-high CSAT of 99.8% Stevie Award winner in the category (Bronze): Customer Service Department of the Year - Computer Software - 100 or More Employees. Winner of the ISG Paragon Innovation Award in partnership with Sophos (customer) for the EMEA region and finalist in the Transformation Award category. RemoteTech Breakthrough Awards winner for “Software Asset Management Solution of the Year” These recognitions are matched by business performance: Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fifth Consecutive Year Listed on the Financial Times & Statista's High-Growth Companies Asia-Pacific 2025 list. Won the Silver for Stevie's Employer of the Year 2023 - Computer Software category and also recognized as Great Place to Work 2022-2023 Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal Title: Senior Software Engineer - Reliability & Kubernetes (E5) Location: San Jose, CA (Onsite), About the Role: We are looking for an experienced Software Engineer (E5) who is passionate about building systems that are resilient, observable, and designed for scale from day one. This role sits within our Reliability Engineering charter and focuses on strengthening the core platform that powers all Whatfix products - including our next-generation AI offerings. You will design and implement reliability frameworks, evolve our Kubernetes-based infrastructure, and create automation that allows engineering teams to operate their services with confidence. This is a senior individual contributor role where you will directly influence system architecture, lead reliability initiatives across teams, and mature the technical foundations required to support our enterprise and federal customers. Candidates must be authorized to work in the United States on a full-time basis without employer sponsorship, either now or in the future. What You'll Own Architect and deliver platform components that improve reliability, fault tolerance, and system performance Build reusable tooling and automation to reduce manual operations and scale reliability practices across engineering Lead the design and rollout of observability and monitoring frameworks that give teams deep visibility into their services Serve as a technical escalation point for critical incidents and drive long-term remediation through blameless RCAs Strengthen our Kubernetes platform with better automation, deployment workflows, and resource efficiency Partner with engineering, platform, and product teams to define SLIs/SLOs and embed them into how we operate services Support on-prem and regulated environment deployments by ensuring high availability and compliance requirements are met What You'll Bring Strong hands-on programming experience in Java (plus Python or Go is a bonus) Expertise running and scaling Kubernetes workloads in production environments Experience with GitOps practices and tooling (ArgoCD, Helm) Strong grounding in CI/CD, infrastructure as code, and automated deployment pipelines Background in observability (metrics, logs, traces) and designing systems that are measurable and diagnosable Proven experience driving post-incident reviews and converting findings into permanent engineering improvements Ability to break down complex distributed systems problems into practical, high-impact solutions Nice-to-Have Experience Log aggregation tools or stacks (e.g., ELK) Chaos engineering or resilience testing approaches Building internal developer platforms or reliability frameworks Exposure to large-scale or regulated enterprise environments Who Thrives in This Role Engineers who enjoy working across systems, infrastructure, and platform layers ICs who like solving ambiguous problems and setting high technical standards People who think in automation, self-healing patterns, and long-term system health Engineers who want their work to directly influence the reliability posture of company-wide products Soft Skills That Matter Strong ownership and problem-solving mindset Ability to collaborate across multiple engineering groups Clear communication, especially during high-pressure incident scenarios Mentoring and uplifting other engineers through reviews, patterns, and best practices Perks / Benefits Uncapped incentives Equity plan Mac shop, work with the newest technologies Unlimited PTO policy Paid maternity/paternity leave Monthly cell phone stipend Paid UberEats lunches-daily Medical, Dental, and Vision coverage (Whatfix pays 80% of the premium for individuals and their families; for the HSA, Whatfix contributes $1,000 for individuals and $2,000 for a family) Team and company outings Learning and Development benefits At Whatfix, we value collaboration, innovation, and human connection. We believe that working together in the office five days a week fosters open communication, strengthens our community, and drives innovation, helping us achieve our goals more effectively. To facilitate global collaboration, our US teams start and end early, while our India teams start and end late. US teams do not have any evening meetings. Relocation and Sponsorship offered. We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust is the foundation; and Do it as you own it. Whatfix is an Equal Opportunity Employer and an E-Verify participant. All activities must comply with our Equal Opportunity Laws, ADA, and other regulations, as appropriate. We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation will be determined by factors such as level, job-related knowledge, skills, and experience. Due to our company's global nature and our hiring committee's span of different time zones, the interviews for this role will be recorded for those not in attendance to review.

Optomi in partnership with one of our top clients is seeking a highly skilled Software Engineer with strong experience in building application and shared services, REST APIs, and cloud-native solutions. In this role, you will contribute to the development of the Studio's media platforms and B2B applications that support content fulfillment across the Studio's global supply chain. The ideal candidate will bring strong AWS expertise, proficiency in modern programming languages, and the ability to work cross-functionally within a collaborative engineering environment. What the Right Candidate Will Enjoy! Contributing to high-visibility media platforms and content supply chain applications Building scalable, reusable B2B REST APIs used across multiple business units Hands-on development with TypeScript, Java, Kotlin, or JavaScript Working extensively with AWS serverless tools-including Lambda and API Gateway Solving complex engineering challenges involving identity and access management Participating in a structured, multi-stage interview process that values both technical and collaborative skills Collaborating with engineers, product owners, security teams, and infrastructure partners Delivering features in an Agile environment with opportunities for continuous learning Expanding skillsets across cloud services, API design, and distributed systems Experience of the Right Candidate: 3+ years of industry experience in software engineering STEM Degree Strong focus on application development and shared services Extensive experience with AWS tools and technologies, especially serverless computing and API Gateway Strong proficiency in TypeScript, Java, Kotlin, or JavaScript (TypeScript/Java preferred) Solid understanding of REST API design principles and software engineering best practices Strong communication and problem-solving skills Ability to collaborate effectively within cross-functional teams Experience with databases and identity & access management concepts a plus Comfortable participating in coding assessments and system design interviews Responsibilities of the Right Candidate: Collaborate on the design, development, and deployment of scalable, high-quality software solutions Build, enhance, and maintain API-driven shared services for Studio media platforms Leverage AWS tools and serverless technologies to architect reliable, cloud-native applications Partner closely with product owners, security teams, and other engineering groups to deliver on requirements Participate in Agile ceremonies-estimating work, prioritizing tasks, and delivering iteratively Apply and uphold best practices in coding standards, architecture, and system reliability Contribute to identity and access management services and reusable B2B REST APIs Conduct testing and ensure high-quality deployments across the platform Actively stay current with emerging technologies, industry trends, and engineering best practices Support continuous improvement efforts for development processes, tooling, and automation

Job Title: Senior Software Engineer / Quant Developer (JG3 Level) Duration: Long-term contract with possibility of extension We are seeking a senior-level, hands-on Software Engineer with strong quantitative and analytical skills to support trading and risk activities within the T&S organization. This role requires deep domain expertise in derivatives, futures markets, and financial trading systems, along with strong technical capabilities in Python, PowerShell, SQL, and scripting. Key Requirements This is a JG3 senior-level role requiring both leadership and strong hands-on technical skills. Derivative trade lifecycle experience is mandatory. Deep understanding of global futures exchanges is essential. Background in commodity trading, capital markets, or investment banking strongly preferred. Strong proficiency in Python, PowerShell, and SQL is required. Experience with scripting and automation. Ideal candidates include: Python Developers Quant Analysts / Quant Developers Professionals with an economics or finance background who also have business analysis (BA) experience What This Role Looks Like The Senior Engineer will be responsible for ensuring the accuracy and integrity of trading data and providing actionable insights to support decision-making across the trading organization. Key expectations include: Collaborate with multiple teams within T&S to gather data, understand requirements, and validate information. Build data pipelines, analytical tools, and insight-driven platforms. Provide traders with clear, accurate insights that support real-time decision-making. Apply BA skills to understand business needs, translate them into technical solutions, and ensure alignment with trading strategies. Work cross-functionally with trading, risk, data, and technology teams. This role blends technical engineering, quantitative analysis, and business analysis, making it critical for supporting efficient and informed trading operations. Location & Work Expectations This position is onsite at the Houston OTM office-candidates must be prepared to work in person. Start date: January 15, 2026 Long-term engagement with strong potential for extension.

About You: You will be working on our frontend built with Next.js, TypeScript, and Tailwind. It's a complex product with interactive, realtime systems that need to be coordinated. You should be immediately productive coming into a codebase on this stack. You are skilled at frontend architecture and can also turn Figma designs into reliable production code. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we're building for software engineers like ourselves. About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

About You: You will be working on our backend built with Python/FastAPI (with lots of asyncio), Postgres, and Redis. You should be immediately productive coming into a codebase on this stack. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we're building for software engineers like ourselves. About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

We're hiring a Senior/Lead Data Engineer to join a fast-growing AI startup. The team comes from a billion dollar AI company, and has raised a $40M+ seed round. You'll need to be comfortable transforming and moving data in a new 'group level' data warehouse, from legacy sources. You'll have a strong data modeling background. Proven proficiency in modern data transformation tools, specifically dbt and/or SQLMesh. Exceptional ability to apply systems thinking and complex problem-solving to ambiguous challenges. Experience within a high-growth startup environment is highly valued. Deep, practical knowledge of the entire data lifecycle, from generation and governance through to advanced downstream applications (e.g., fueling AI/ML models, LLM consumption, and core product features). Outstanding ability to communicate technical complexity clearly, synthesizing information into actionable frameworks for executive and cross-functional teams.

About You: You will be working on our backend built with Python/FastAPI (with lots of asyncio), Postgres, and Redis. You should be immediately productive coming into a codebase on this stack. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we're building for software engineers like ourselves. About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

About You: You will be working on our backend built with Python/FastAPI (with lots of asyncio), Postgres, and Redis. You should be immediately productive coming into a codebase on this stack. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we're building for software engineers like ourselves. About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

We're hiring a Senior/Lead Data Engineer to join a fast-growing AI startup. The team comes from a billion dollar AI company, and has raised a $40M+ seed round. You'll need to be comfortable transforming and moving data in a new 'group level' data warehouse, from legacy sources. You'll have a strong data modeling background. Proven proficiency in modern data transformation tools, specifically dbt and/or SQLMesh. Exceptional ability to apply systems thinking and complex problem-solving to ambiguous challenges. Experience within a high-growth startup environment is highly valued. Deep, practical knowledge of the entire data lifecycle, from generation and governance through to advanced downstream applications (e.g., fueling AI/ML models, LLM consumption, and core product features). Outstanding ability to communicate technical complexity clearly, synthesizing information into actionable frameworks for executive and cross-functional teams.

We're hiring a Senior/Lead Data Engineer to join a fast-growing AI startup. The team comes from a billion dollar AI company, and has raised a $40M+ seed round. You'll need to be comfortable transforming and moving data in a new 'group level' data warehouse, from legacy sources. You'll have a strong data modeling background. Proven proficiency in modern data transformation tools, specifically dbt and/or SQLMesh. Exceptional ability to apply systems thinking and complex problem-solving to ambiguous challenges. Experience within a high-growth startup environment is highly valued. Deep, practical knowledge of the entire data lifecycle, from generation and governance through to advanced downstream applications (e.g., fueling AI/ML models, LLM consumption, and core product features). Outstanding ability to communicate technical complexity clearly, synthesizing information into actionable frameworks for executive and cross-functional teams.

We're hiring a Senior/Lead Data Engineer to join a fast-growing AI startup. The team comes from a billion dollar AI company, and has raised a $40M+ seed round. You'll need to be comfortable transforming and moving data in a new 'group level' data warehouse, from legacy sources. You'll have a strong data modeling background. Proven proficiency in modern data transformation tools, specifically dbt and/or SQLMesh. Exceptional ability to apply systems thinking and complex problem-solving to ambiguous challenges. Experience within a high-growth startup environment is highly valued. Deep, practical knowledge of the entire data lifecycle, from generation and governance through to advanced downstream applications (e.g., fueling AI/ML models, LLM consumption, and core product features). Outstanding ability to communicate technical complexity clearly, synthesizing information into actionable frameworks for executive and cross-functional teams.

Job Title: Senior Software Engineer / Quant Developer (JG4 Level) Duration: Long-term contract with possibility of extension The Senior Data Engineer will design and build robust data foundations and end-to-end data solutions to enable the business to maximize value from data. This role plays a critical part in fostering a data-driven culture across both IT and business stakeholder communities. The Senior Data Engineer will act as a subject matter expert (SME), lead solution design and delivery, mentor junior engineers, and translate Data Strategy and Vision into scalable, high-quality IT solutions. Key Responsibilities Design, build, and maintain enterprise-grade data foundations and end-to-end data solutions. Serve as a subject matter expert in data engineering, data modeling, and solution architecture. Translate business data strategy and vision into scalable technical solutions. Mentor and guide junior data engineers and contribute to continuous capability building. Drive the rollout and adoption of Data Foundation initiatives across the business. Coordinate change management, incident management, and problem management processes. Present insights, reports, and technical findings to key stakeholders. Drive implementation efficiency across pilots and future projects to reduce cost, accelerate delivery, and maximize business value. Actively contribute to community initiatives such as Centers of Excellence (CoE) and Communities of Practice (CoP). Collaborate effectively with both technical teams and business leaders. Key Characteristics Highly curious technology expert with a continuous learning mindset. Strong data-domain expertise with deep technical focus. Excellent communicator who can engage both technical and non-technical stakeholders. Trusted advisor to leadership and cross-functional teams. Strong driver of execution, quality, and delivery excellence. Mandatory Skills Cloud Platforms: AWS, Azure, SAP - Expert Level ELT: Expert Level Data Modeling: Expert Level Data Integration & Ingestion Data Manipulation & Processing DevOps & Version Control: GitHub, GitHub Actions, Azure DevOps Data & Analytics Tools: Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Optional / Nice-to-Have Skills Experience leading projects or running a Scrum team. Experience with BPC and Planning. Exposure to external technical ecosystems. Documentation using MkDocs.

About the Role We're partnering with a large, operations-focused organization to hire a Data Scientist (GIS) to support analytics initiatives within their operations function. This role applies geospatial data and advanced analytics to help improve operational efficiency, service reliability, and planning decisions. The work is highly analytical and engineering-focused, with models built directly in Snowflake and used as inputs into downstream optimization and planning systems. What You'll Work On Geospatial Modeling & Time Estimation Develop data-driven models to estimate operational timing across different service and facility interactions Leverage GPS data and geofencing techniques to understand behavior across locations Incorporate contextual variables such as: Geography and location characteristics Customer and service attributes Site complexity and external conditions (e.g., weather, time-based patterns) Produce reliable, explainable time estimates that support planning and decision-making Facility & Location Analytics Model turnaround and processing time across different types of locations Analyze performance variability based on operational and environmental factors Apply polygon- and radius-based geofencing to capture location-specific behavior Quantify how conditions impact operational flow and timing outcomes Technical Environment Primary development and modeling in Snowflake Build and engineer transformations and analytical processes directly in Snowflake Modeling approaches may include: Percentile-based time estimates Aggregations such as averages and medians by service and location attributes Data sources include: Latitude/longitude data High-frequency GPS signals Location and facility reference data What We're Looking For Strong hands-on experience with Snowflake Advanced SQL skills Python for analytics and data engineering Solid understanding of core GIS concepts, including: Spatial joins Polygons Geofencing Experience with traditional GIS tools (e.g., ArcGIS) is a plus, but this is not a cartography or visualization-focused role Background in geospatial data engineering and modeling is key Interview Process Two One hour video interviews

About Us Longbridge Securities, founded in March 2019 and headquartered in Singapore, is a next-generation online brokerage platform. Established by a team of seasoned finance professionals and technical experts from leading global firms, we are committed to advancing financial technology innovation. Our mission is to empower every investor by offering enhanced financial opportunities. What You'll Do As part of our global expansion, we're seeking a Data Engineer to design and build batch/real-time data warehouses and maintain data platforms that power trading and research for the US market. You'll work on data pipelines, APIs, storage systems, and quality monitoring to ensure reliable, scalable, and efficient data services. Responsibilities: Design and build batch/real-time data warehouses to support the US market growth Develop efficient ETL pipelines to optimize data processing performance and ensure data quality/stability Build a unified data middleware layer to reduce business data development costs and improve service reusability Collaborate with business teams to identify core metrics and data requirements, delivering actionable data solutions Discover data insights through collaboration with the business owner Maintain and develop enterprise data platforms for the US market Qualifications 7+ years of data engineering experience with a proven track record in data platform/data warehouse projects Proficient in Hadoop ecosystem (Hive, Kafka, Spark, Flink), Trino, SQL, and at least one programming language (Python/Java/Scala) Solid understanding of data warehouse modeling (dimensional modeling, star/snowflake schemas) and ETL performance optimization Familiarity with AWS/cloud platforms and experience with Docker, Kubernetes Experience with open-source data platform development, familiar with at least one relational database (MySQL/PostgreSQL) Strong cross-department collaboration skills to translate business requirements into technical solutions Bachelor's degree or higher in Computer Science, Data Science, Statistics, or related fields Comfortable working in a fast-moving fintech/tech startup environment Bonus Point: Experience with DolphinScheduler and SeaTunnel is a plus

Systems Engineer - Enterprise Infrasturcture Job Type: Full-Time | Location: Atlanta, GA Optomi, in partnership with one of our premier clients, is seeking a Systems Engineer to deliver hands-on administration, engineering, and support across enterprise data center and Microsoft infrastructure technologies. This role requires strong experience with Windows Server, VMware, backup platforms, collaboration tools, and cloud-connected services. You'll work within a forward-looking engineering team focused on modernization, scalability, and operational readiness What the Right Candidate will Enjoy: Work with modern infrastructure technologies across a large enterprise! High ownership and autonomy-your ideas and improvements matter! Opportunity to influence future-state architecture and tooling! The chance to work in environment focused on developing talent, collaboration, and diversity! Experience of the Right Candidate: Strong experience with Microsoft ecosystem: O365, AD, Exchange, Teams, SharePoint. Hands-on VMware/vCenter management. Working knowledge of Azure and Azure AD. Deep understanding of Windows Server platforms and enterprise infrastructure. Experience with DR/BCP, capacity planning, and high availability. Ability to work across multi-vendor environments (hardware & software). Responsibilities of the Right Candidate: Manage VMware vSphere environments, Windows Server (2012-2019), and core infrastructure services. Administer Active Directory, DNS/DHCP, GPOs, NPS, ADFS, and Azure AD Connect. Support Office 365, Exchange (on-prem & Online), Teams, OneDrive, and SharePoint. Use Tanium for endpoint management and patching. Perform server builds, OS upgrades, firmware updates, and performance tuning. Evaluate, test, and deploy new infrastructure technologies. Support backup platforms: Veeam, Dell PPDM, Zerto. Manage enterprise storage (HPE Nimble, Dell EMC, NetApp). Maintain DR/BCP procedures and high-availability configurations. Participate in migrations, upgrades, and modernization initiatives. Monitor and troubleshoot critical data center systems. Create thorough SOPs and handoff documentation to operations. Own assigned project workloads-reporting progress, risks, and timelines.

System Engineer (On-Site | Johns Creek, GA) Optomi, in partnership with a leader in the manufacturing industry, is seeking a Systems Engineer provides hands-on administration, maintenance, and support of enterprise data center and infrastructure technologies. This role requires intermediate to advanced knowledge of Microsoft infrastructure, virtualization, backup solutions, and cloud services in a large-scale enterprise environment. Core Responsibilities: Infrastructure Administration & Support: Administer and support VMware vSphere virtualization environment Manage Microsoft Windows Server environments (2012 R2, 2016, 2019) Maintain and troubleshooting Active Directory services include: Group Policy Objects (GPO) DHCP and DNS Network Policy Server (NPS) Active Directory Federation Services (ADFS) Azure AD Connect integration Microsoft 365 & Collaboration Tools: Support Office 365, Exchange Server (2016, 2019), and Exchange Online Administer SharePoint, Microsoft Teams, and OneDrive Manage email systems and collaboration platform configurations Systems Management & Deployment: Utilize Tanium for endpoint management and patch deployment Optimize server hardware and software while ensuring minimal downtime Monitor system performance, configuration, and capacity management Data Protection & Storage: Support backup solutions including Veeam, Dell PowerProtect Data Manager (PPDM), and Zerto Manage enterprise storage platforms (HPE Nimble, Dell-EMC, NetApp) Implement and maintain disaster recovery and business continuity procedures Operations & Project Work: Monitor and troubleshoot critical data center systems and equipment Participating in infrastructure upgrade and migration projects Respond to incidents with appropriate urgency and documentation Collaborate with cross-functional teams on special assignments Required Qualifications: Bachelor's or associate degree in computer science, Information Technology, or related field OR equivalent combination of education and significant relevant work experience Directory Services: Proven experience with Active Directory, DNS, LDAP, WINS, GPO, SAML, ADFS, and multi-factor authentication Virtualization: Hands-on experience managing large-scale VMware environments Cloud Services: Working knowledge of Microsoft Azure and Azure AD Enterprise Infrastructure: Experience supporting large-scale infrastructure projects in data center operations Operating Systems: Extensive knowledge of Microsoft Windows Server platforms Multi-Vendor Solutions: Ability to work with diverse hardware and software vendors

About the Role We're looking for someone who genuinely loves building AI systems. Things like bots, knowledge bases, agentic workflows, RAG pipelines, and other intelligent tools. If you get excited about taking an idea and turning it into a real, working AI feature, you'll fit right in. The title mentions “Full Stack,” but to be clear: the heart of this job is AI engineering. You'll be the one designing and building the AI capabilities that power our platform, end to end. What You'll Work On (Primary Focus) AI Systems Development - You will architect, build, and deploy advanced AI capabilities, including: AI-powered bots and conversational assistants Knowledge base systems (RAG, embeddings, vector DBs, context management) Agentic systems with tool use, multi-step reasoning, and dynamic workflows Fine-grained prompt design, guardrails, and output evaluation Model selection, performance tuning, and cost optimization Integrating AI features into our existing MERN-based product If your passion is building real AI systems, not just prototypes, this role is built for you. Requirements AI Engineering Expertise (Required) - Candidates must have hands-on, production-level AI experience: Built production AI systems (bots, RAG, agents, orchestrations) Experience with GPT-4o, Claude, LangChain, LlamaIndex, Agent frameworks Deep understanding of embeddings + vector databases Experience designing RAG pipelines and context architectures Ability to build multi-step agentic workflows and tool systems Strong prompt engineering fundamentals + prompt security awareness Experience evaluating model performance + improving reliability Comfort with AI dev tooling (Cursor, Claude, Copilot, etc.) Full Stack Ability (Supporting Skillset) (Not the primary responsibility, but required for integrating AI features.) Experience with MongoDB, Express, React, Node.js Strong debugging and integration skills Bonus Skills AWS experience Workflow engines (n8n, Zapier) Experience with fine-tuning or model benchmarking How to Apply (Must Follow Exactly) Applicants who skip any step will be automatically declined. 1. Property Management / Real Estate Experience (Optional) List any relevant experience (optional). 2. GitHub Repository Share your GitHub link or specific repos showcasing your AI + full stack work. 3. 2-Minute Video Introduction (Required) Record a 1-2 minute video (Loom, unlisted YouTube, Google Drive, etc.) answering: Your name + where you're located Your AI experience in one sentence One AI system you built that you're proud of Clear audio is enough - no heavy editing required. (If this keyword is not at the top, the application will not be reviewed.)