230 jobs found

Job Description Job Description Arrowpoint is seeking a Senior Data Integration Specialist to serve as Key Personnel on the FBI DSSU contract. In this leadership role, you will drive technical innovation and integration strategy for the N-DEx ecosystem, lead complex integration efforts, design new vendor solutions, and oversee data standardization practices. Key Responsibilities: Design new vendor solutions, recommend integration strategies, and drive technical innovation for data ingestion and system federation. Develop, maintain, test, and validate complex transformation code to ensure data quality and compliance with standards. Oversee daily data integration operations and coordinate the deployment of transformation code to source systems. Mentor Mid-Level and Junior Data Integration Specialists and lead complex integration efforts. Required Qualifications & Skills: Experience: At least 6 years of progressively responsible experience in data integration, ETL development, and SFTP troubleshooting. Technical Skills: Expert proficiency in web services (SOAP/REST) and Software Procedural Languages (PL/SQL, T-SQL). Advanced ability to develop, modify, and troubleshoot code in Java, Python, C, C#, or .NET. Deep expertise in transformation languages and schemas (XML, XSLT, XSD, DTD) and relational databases. Familiarity with law enforcement (LE) data and Information Exchange Package Documentation (IEPD) specifications. Clearance: Must possess an active Top Secret clearance at the time of application. Citizenship: U.S. Citizenship required (No dual citizenship). About Us Arrowpoint is a specialized, professional services firm focused on delivering high-impact services with a bias for execution in the areas of project management, change management, cybersecurity engineering, and enterprise technology adoption. Arrowpoint is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, or gender identity or national origin.

Job Description Location: Remote, USA Employment Type: Full-Time (Permanent) Experience: 10+ Years Department: Professional Services Level: 4 - Senior Job Description We are seeking an experienced Senior Software Engineer - Informatica B2B Developer with 10+ years of hands-on experience in enterprise data integration, ETL/ELT development, cloud technologies, and B2B partner integrations. The ideal candidate should have strong technical expertise in Informatica PowerCenter, IICS/IDMC, B2B Gateway , enterprise integration platforms, and cloud-based data engineering, along with experience leading technical teams and delivering complex integration projects. Key Responsibilities Design, develop, optimize, and maintain enterprise ETL/ELT pipelines and data integration solutions using Informatica technologies. Architect and implement B2B dataflows, data pipelines, and trading-partner integrations. Develop and support integrations using Informatica PowerCenter, IICS/IDMC, CDI, CAI, CDGC, and B2B Gateway . Integrate enterprise applications and platforms, including Databricks, MuleSoft, and Salesforce , using APIs and integration workflows. Design, deploy, and manage cloud-based data integration workloads on AWS and Azure . Develop automation scripts, reusable components, and integration utilities using Shell, PowerShell, Python, Java, C, or C++. Build and maintain enterprise file transfer solutions using FTP, SFTP, AS2 , encryption, certificates, and managed file transfer mechanisms. Perform debugging, unit/integration testing, developer testing, QA support, performance tuning, and production troubleshooting. Manage production deployments, CI/CD processes, code reviews, and technical documentation. Lead developers, coordinate technical activities, and ensure timely delivery of individual and team deliverables. Collaborate with cross-functional teams in Agile environments to deliver reliable and scalable integration solutions. Required Qualifications 10+ years of hands-on experience designing, developing, optimizing, and supporting Informatica ETL/ELT solutions. 10+ years of experience in application integration, data integration, or ETL engineering development, including B2B dataflows, pipelines, and partner integrations. 4-5 years of technical design experience in application integration, data integration, or ETL engineering. 5+ years of experience with Informatica IICS/IDMC, including CDI, CAI, CDGC, B2B Gateway, mappings, workflows, taskflows, and associated microservices. 5+ years of experience integrating Databricks, MuleSoft, Salesforce, and other enterprise platforms. 5+ years of experience designing, deploying, and supporting integration workloads on AWS and Azure. 5+ years of experience with enterprise file transfer protocols, including FTP, SFTP, AS2 , and managed file transfer solutions. 5+ years of Shell or PowerShell scripting experience for automation, file processing, monitoring, and troubleshooting. 2-3 years of software development experience in Python, Java, C, or C++ . 4-5 years of experience supporting developer testing, application QA, unit testing, and integration testing. 4-5 years of experience managing production deployments and deployment automation. 4-5 years of experience leading developers, coordinating tasks, and managing technical deliverables. Strong knowledge of REST/SOAP APIs, SQL, relational databases, Linux, Windows , data validation, and query optimization. Experience with Git, CI/CD pipelines, code reviews, production support, technical documentation, logging, and error handling. Strong understanding of encryption, certificate management, cloud access management, and trading-partner connectivity. Experience working with Agile delivery teams and collaborating across technical and business stakeholders. Preferred Qualifications Experience with Informatica Data Exchange (DX), Data Transformation (DT) , and enterprise B2B/EDI integrations. Knowledge of ANSI X12, EDIFACT , and trading-partner onboarding processes. Exposure to Snowflake, Azure Data Factory, Apache Kafka , and event-driven integration architectures. Experience with DevOps tools such as Jenkins, Azure DevOps, GitHub Actions, Terraform, and CloudFormation . Familiarity with monitoring and observability tools such as AWS CloudWatch, Azure Monitor, Splunk, and Datadog . Experience designing and supporting high-volume data pipelines, high-availability architectures, performance optimization, and disaster recovery. Exposure to AI/ML, Generative AI , and AI-assisted data engineering or integration tools. Additional Requirements Excellent written and verbal communication skills. Strong analytical and problem-solving abilities, including identifying, presenting, and resolving technical issues. Ability to lead technical discussions, mentor developers, and independently manage project deliverables. Flexibility to collaborate across US and India time zones . Willingness to travel internationally for short durations when required.

Job Description Senior Application Support Engineer Location: New York, United States Employment Type: Full-time Industry: Financial Services / FinTech Reports to: Head of Engineering (UK) and Head of US Office About the Role We're seeking an experienced Senior Application Support Engineer to help maintain the stability, reliability, and business continuity of a mission-critical financial technology platform. As the primary technical contact in our US office, you'll work closely with Application Support, Engineering, Product, and Operations teams while sharing support coverage with colleagues in the UK. Our platform runs on Google Cloud Platform (GCP) and connects applications supporting trading, clearing, settlement, books and records, and operational processing. What You'll Do Own production incidents from investigation through resolution, prioritizing business impact, coordinating incident calls, and working with internal teams and external providers. Troubleshoot application and integration failures across services, FIX connections, APIs, and file-based feeds, including reconciliation breaks and processing exceptions. Apply safe mitigations and controlled remediation, assessing downstream impacts before restarting services, replaying messages, or reprocessing files. Monitor production applications, integrations, and scheduled jobs, including critical market-hours, start-of-day, and end-of-day processing. Provide technical support to local teams and participate in client and partner discussions as needed. Maintain technical documentation, runbooks, incident records, and clear handovers across time zones. Support software releases and integration testing, including readiness checks, post-deployment validation, and recovery scenarios. Improve monitoring, alerting, and automation to reduce recurring production issues. Support audit and compliance requests involving application behavior, data flows, and operational controls. What You'll Bring 8+ years of experience in application support, production support, or technical operations supporting live systems. Experience supporting business-critical, interconnected applications, such as trading platforms or payment systems, where availability, accuracy, and timely processing are essential. Previous experience in financial services, investment management, or investment advisory environments. Demonstrated ability to independently diagnose and resolve complex production incidents under pressure. Strong communication and collaboration skills, including working with technical and non-technical stakeholders during incidents. Experience sharing support responsibilities across geographically distributed teams and time zones. Required Technical Skills SQL: Strong proficiency in investigating data issues, validating system state, and supporting controlled remediation. Google Cloud Platform: Hands-on experience supporting cloud-hosted applications using Logs Explorer, Trace, and monitoring platforms such as Datadog. FIX Protocol: Practical knowledge of FIX sessions and order/execution messages, including sequence gaps, rejects, reconnects, and recovery procedures. Distributed Systems: Ability to troubleshoot applications, APIs, messaging systems, and file-based integrations, including delayed, missing, duplicated, or out-of-order processing. Networking and Security: Working knowledge of authentication, networking, and secure file transfer protocols. Scripting: Ability to write scripts to automate operational checks and streamline investigations; Python preferred. Release Management: Understanding of production access controls, change management, deployment environments, release validation, and rollback procedures. Preferred Qualifications Familiarity with investment platforms, brokerage environments, or self-clearing broker-dealer operations. Knowledge of financial instruments, including equities, bonds, and mutual funds. Experience supporting applications integrated with clearing and settlement infrastructure, including DTCC. Experience with Order Management Systems (OMS) and books and records platforms. Knowledge of client onboarding, Know Your Customer (KYC), and Anti-Money Laundering (AML) operations. Experience supporting regulatory reporting processes. Familiarity with GCP infrastructure and containerization technologies, including Compute Engine virtual machines, Managed Instance Groups (MIGs), Cloud Run, Pub/Sub, and Docker. What Success Looks Like You're a hands-on support professional who takes ownership of complex incidents and brings sound judgment, attention to detail, and clear communication to critical situations. You combine technical troubleshooting skills with an understanding of financial services operations and proactively improve production stability and operational efficiency.

Job Description Company Description Broadtime is a specialized provider of e-commerce music solutions for retailers, offering drop shipping websites to enhance the music shopping experience. The company focuses on helping retail partners showcase and sell music products more effectively through engaging and intuitive technology. Broadtime combines technical expertise with a deep understanding of music retail to deliver reliable, user-friendly platforms. Team members collaborate closely with clients to support innovation in how music is discovered and purchased in-store and online. We are seeking a dynamic and detail-oriented developer to join our team as a Senior Shopify Integration & Java Developer. This person will own our Shopify integration end to end: the back-end services, APIs, and data pipelines that connect our music catalog and fulfillment network to a growing portfolio of Shopify and Shopify Plus stores. You'll manage our Shopify catalog database, which is integrated with our proprietary e-commerce platform, and lead the technical onboarding of new retail and brand customers onto Shopify. We operate and are expanding a music commerce environment that includes many of Shopify stores, drop-ship fulfillment through wholesale distributors, and API integrations with partners across the music industry. The ideal candidate is a strong back-end engineer who enjoys solving integration problems, communicates clearly with customers and partners, and works well on a small, fast-moving team. Location: Hybrid in Richmond, Virginia (Broadtime office, 23226). Candidates must currently live within commuting distance of Richmond. This is not a remote role. Responsibilities Owning and managing our Shopify integration across all connected stores, including product, inventory, pricing, order, and fulfillment sync. Managing and evolving our Shopify catalog database (PostgreSQL, with supporting data in DynamoDB) and its integration with our proprietary MySQL-based e-commerce platform, working closely with our platform engineer to keep data accurate and in sync at scale. Leading technical onboarding of new customers onto Shopify: store setup, app and integration configuration, catalog loading, order flow testing, and launch support. Designing, developing, and deploying Java back-end services and APIs (Spring Boot) for catalog feeds, order routing, drop-ship fulfillment, and billing. Building and maintaining integrations with the Shopify Admin GraphQL and REST APIs and webhooks, including bulk operations and rate-limit-aware sync jobs. Developing and maintaining integrations with third-party systems: wholesale distributors, payment processors, shipping carriers, and partner APIs. Building event-driven and scheduled pipelines on AWS (EventBridge, SQS/SNS, Lambda, ECS) to process Shopify events and distributor data. Developing cloud system architecture in AWS and managing it as code with Terraform. Monitoring, troubleshooting, and resolving sync, order, and data issues; improving reliability, performance, and cost of production systems. Providing technical support to store owners, customers, and internal teams, and documenting integration processes and onboarding procedures. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. Ideally, 5+ years of professional back-end development experience, including 3+ years building integrations with the Shopify platform and 3+ years developing production Java services. Required ExperienceSoft Skills Excellent problem-solving skills, attention to detail, and the ability to deliver under tight deadlines. Strong written and verbal communication, including walking non-technical customers through onboarding and explaining technical issues clearly. Ability to work collaboratively on a small team while independently owning and managing your own work. Comfort working with outside partners, vendors, and their technical teams. Ability to take over an existing system, learn it quickly, and improve it without disrupting live customers. Hard Skills Java 17+ with Spring Boot RESTful API design and development Shopify Admin GraphQL & REST APIs, webhooks, bulk operations Shopify app development (custom/private apps, OAuth, API scopes) Shopify store administration and configuration (products, variants, inventory, fulfillment, sales channels) PostgreSQL: schema design, query optimization, and data modeling, plus JPA/Hibernate AWS DynamoDB: table and key design, access patterns, and working alongside a relational database Working knowledge of MySQL and cross-database integration and sync Large-scale catalog and inventory data management (product data feeds, UPC/SKU mapping, ETL) AWS: EC2, ECS, Lambda, S3, RDS, IAM, CloudWatch, ALB, CloudFront, Route 53 AWS messaging and eventing: EventBridge, SQS, SNS Docker Linux Git and GitHub, including CI/CD (GitHub Actions or similar) Maven or Gradle; unit and integration testing (JUnit, Mockito) Nice to Have Shopify Plus (Checkout Extensibility, Shopify Functions, Flow, multi-store management) Shopify Collective, drop-ship, or wholesale/B2B commerce Shopify POS Shopify theme development (Liquid, Online Store 2.0, Shopify CLI) Terraform TypeScript, JavaScript, Node.js Stripe, Square, or other payment APIs Shipping APIs (EasyPost, ShipStation, or carrier APIs) Experience integrating with or modernizing legacy platforms Elasticsearch or OpenSearch Bash scripting Music industry or retail e-commerce background Pay: $90,000.00 - $115,000.00 per year Benefits: Health insurance Paid time off Work Location: Hybrid in Richmond, VA 23226 (local candidates only; not remote)

Job Description Senior Technical Project Manager / Program Manager (Legacy Modernization) Department: Enterprise Application Modernization / Program Management Office (PMO) Project: Mainframe Case Management to Salesforce) Dedicated Tool Stack: Salesforce (Service Cloud / Case Management) Informatica Automic (Atomic) Scheduler MuleSoft Relational Databases (SQL) Mainframe Location: Phoenix, Arizona Position Overview We are seeking a high-caliber Senior Technical Project Manager / Program Owner to serve as the single point of leadership ("Commander-in-Chief") for the modernization of our legacy mainframe case management system, Mainframe , into Salesforce . This role blends executive program management, financial stewardship, product ownership, and hands-on technical fluency. You will own the program budget, drive vendor/resource allocations, steer executive stakeholders, and publish transparent weekly reporting. Critically, you must possess the technical acumen to understand and triage architectural roadblocks across our modernization stack-including Salesforce governor limits , Informatica data conversion pipelines , MuleSoft API interfaces , Automic batch schedules , and QA/UAT defect trends . Key Roles & Responsibilities 1. Executive Leadership & Stakeholder Management Serve as the central authority and primary escalation point for all business sponsors, agency executives, operations directors, and technical leads. Manage competing priorities among disparate stakeholder groups, aligning operational casework requirements with enterprise IT standards and budget guardrails. Lead weekly steering committee meetings, executive briefings, and program governance reviews. Author and distribute comprehensive weekly executive status reports, program health scorecards (budget, schedule, scope, quality), and actionable RAID (Risks, Assumptions, Issues, Dependencies) logs. 2. Budget, Financial Governance & Resource Management Own the total cost of ownership (TCO) and capital expenditure budget for the modernization initiative. Track project burn rates, financial forecasting, invoice reconciliation, and cost variance analysis against planned baselines. Oversee resource planning and vendor performance, ensuring systems integrators, contractors, and internal engineering teams hit delivery milestones within contracted hours. Manage contract deliverables, change requests (CRs), and statement-of-work (SOW) compliance. 3. Technical Literacy, Workstream Triage & Issue Resolution Lead technical triage sessions and cut through complexity to resolve cross-workstream bottlenecks: Salesforce: Understand architecture constraints, customization vs. out-of-the-box trade-offs, security/sharing complexities, and deployment blockers. Informatica & Staging: Comprehend data migration throughput issues, mapping bottlenecks, transformation errors, and legacy conversion exceptions. MuleSoft Interfaces: Understand payload failures, endpoint connectivity, API latency, and contract alignment between systems. Automic (Atomic) Batch Schedulers: Track batch window run times, job failure dependencies, and automated alerting hurdles. QA & Defect Triage: Chair defect triage boards with QA leads, developers, and BAs; enforce severity/priority standards to unblock test execution and UAT. 4. Product Ownership, Scope & Roadmap Governance Define and defend the project roadmap, distinguishing critical Minimum Viable Product (MVP) capabilities from post-launch enhancements. Own scope control: evaluate proposed business changes against budget, technical debt, and cutover timelines to prevent scope creep. Partner with the Salesforce Agile BA to ensure user stories, technical enablers, and acceptance criteria meet strategic business objectives. Make authoritative decisions on legacy data conversion cutoffs (e.g., determining what volume of historical cases convert vs. archive). 5. Delivery, Cutover & Release Governance Maintain an integrated master schedule (IMS) aligning Agile sprint cycles with rigid waterfall milestones (procurement, cutover gates, regulatory audits). Plan and direct dry runs, volume performance testing, and mock cutovers leading up to final production deployment. Author the executive go/no-go criteria and command the cutover war room during production release windows. Qualifications & Skill Requirements Core Experience & Leadership Enterprise Modernization Track Record (8+ years): Proven experience leading large-scale, complex software delivery programs, specifically legacy mainframe-to-cloud core replacements. Proven background managing projects with budgets exceeding 5M-15M+. Dual PM / Product Owner Capabilities: Demonstrated ability to pair traditional PM rigor (budgets, schedules, risk registers, executive status decks) with Agile product ownership (backlog prioritization, MVP definition, trade-off analysis). Technical Breadth & Stack Fluency: Solid working knowledge of the modern integration and data landscape; ability to lead architectural discussions without needing code-level expertise. Direct project experience involving Salesforce (preferably Service Cloud or large Case Management engines). Direct project experience involving enterprise ETL tools ( Informatica ), middleware/APIs ( MuleSoft ), batch schedulers ( Automic / UC4 ), and legacy Mainframe extraction/conversion. Financial & Contractual Acumen: Expertise in project accounting, Earned Value Management (EVM), vendor milestone validation, and resource forecasting. Professional Competencies Executive gravitas: capable of commanding meetings with C-suite stakeholders and pushing back diplomatically on unrealistic demands. High crisis tolerance: calm under pressure when high-severity defects or cutover delays emerge. Master-level written and visual reporting skills using Jira, Confluence, Microsoft Project/Smartsheet, and executive presentation tools. Preferred Certifications Project Management Professional (PMP) or Program Management Professional (PgMP) Certified Scrum Product Owner (CSPO) or PMI-Agile Certified Practitioner (PMI-ACP) Salesforce Certified Associate or Salesforce Certified Administrator (demonstrating platform literacy)

Job Description Network Engineer (2 openings) Location: New York, NY, onsite at the client's office. At least 3 days a week in the office, FTE Experience: 7-10+ years in hands-on network engineering. Network Engineer- 2 roles- JD is changed; PFB updated JD with expectation. Location- NYC, NY Full-time only, F2F at NYC office. Look for locals What matters most: Linux and Kubernetes depth comes before networking credentials. He wants people who can walk into the lab on day one, test and certify hands-on, and communicate clearly. A CCIE number matters less than proven hands-on work. Must-haves: Linux networking and administration, Kubernetes and container networking (CNI), and kubectl eBPF, especially Cilium for policy enforcement, observability and BGP integration Python and Ansible (Robot Framework is a plus), Git/GitHub and Infrastructure-as-Code OSPF, BGP, IGMP and PIM Cisco Catalyst and Nexus, IOS/XE/NX-OS (limited XR), and Arista 7280, 7504 and 7060 Lab testing and certification: CVE analysis, rapid patch and code certification, and bug scrubs tcpdump and Wireshark, plus IXIA or Spirent performance testing 8+ years of LAN/WAN across campus, branch, WAN/MAN, data center and low-latency networks. CCNP expected; CCIE not required. Nice to have: interop with F5, A10, Fortinet and SRX (MAB/802.1x), and cybersecurity and network risk assessment. Key Responsibilities: Network Routing and Switching Engineer is responsible for testing and certifying network hardware to ensure optimal performance, reliability, and compliance. This role is crucial for maintaining the integrity and efficiency of the organization's network infrastructure. The successful candidate should have hands-on experience in functional testing, with the ability to identify automation opportunities and develop automated test solutions. Mid-level Python and Ansible skills are required to create, maintain, and enhance test automation workflows, improve test coverage, and increase operational efficiency. A combination of networking expertise, Linux proficiency, automation skills, Kubernetes operations, and eBPF observability to design, test, automate, and operate modern enterprises and cloud-native network infrastructures at scale. Working knowledge of cybersecurity principles, CVE analysis, and network risk assessment. Ability to evaluate vulnerabilities, assess operational and business risk, and support remediation, patch certification, and security validation activities across enterprise network platforms. This individual's focus will be on lab testing and certifications with particular focus on the campus/ branch/ WAN-MAN/ Data Center/ Low latency/ limited interoperability with network appliances (firewalls/ load balancers) Rapid certification of patches/ SMU/ codes - with particular focus but not limited to - Risk/ CVE driven events and rapid need for targeted & expedited certifications to ensure the given patch/ SMU/ code can be safely applied on production devices. Interoperability with IP appliances like F5/ A10/ Fortinet/ SRX Load balancers and firewalls (MAB/ 802.1x, firewall & load balancers experience not necessary but a plus). Proficiency with tools such as tcpdump, Wireshark, and Git, and the ability to develop automation using Python, Ansible, APIs, and Infrastructure-as-Code techniques. Develop and design testing for various network hardware, including routers, switches. Conduct Performance Tests: Perform performance tests to evaluate the functionality, speed, and reliability of network hardware. Identify Issues: Detect and diagnose any hardware malfunctions, performance issues, or compatibility problems during testing. Document and present recommendations and finding to the wider teams, including testing results and certifications. He/ She will work on engineering standards and create best practice network documentation utilizing knowledge of industry and technical trends. Providing guidance to the wider teams related to platforms and designs This includes but is not limited to evaluating vendor offerings, collaborating with internal and external peers towards innovating, and becoming also responsible for the software and hardware testing of all future code releases and drive decisions about testing improvements. Creating and updating standards and configuration templates, tracking bugs and vulnerabilities and providing expert level support of the production environment. Heavily engage with vendors to research, understand and communicate industry trends and upcoming products & features of interest and benefit to the BUs. The Ideal candidate is one that has prior worked on network engineering designs and testing plus evaluated products within a network lab; but not a must. The position is in NY, requires on site presence 3 - 4 days weekly. Experience: Senior level, experienced, can lead projects and work independently. 8+ years of experience required with extensive experience with LAN/WAN network design, engineering, and code/ feature certification/ validation. Experience with testing design and certification of products in LAB environments is highly desirable. CCIE or at a min CCNP level experience. Skills Required: Demonstrate knowledge of working with protocols such as OSPF, BGP, IGMP and PIM. Experience with Cisco Platforms such as Catalyst and Nexus. Knowledge of certification of new code, and bug Scrubs on IOS/ XE/ NXOS/ and limited XR. Good foundation in Linux administration, networking, and automation. Cloud-native networking concepts, including Kubernetes architecture, container networking (CNI), and operational tools such as kubectl. Familiarity with eBPF-based networking and security, particularly platforms such as Cilium is major plus. This includes policy enforcement, observability, service load balancing, BGP integration, and troubleshooting using eBPF maps and kernel-level telemetry Good knowledge of Python, Github. Ansible playbooks authoring and how to integrate Ansible with ROBOT framework for seamless automation is beneficial. Some proficiency in the ROBOT Framework is a big plus Experience with Arista Platforms such as 7280, 7504, 7060 etc. Experience developing strategies with multiple vendors. Experienced with creating design documents for each certification which includes engineering guidelines. Experience with Tools such as IXIA and / or Spirent to test and certify various designs and troubleshoot networks issues. Excellent knowledge of IP Routing, BGP, OSPF, and layer2 protocols like Spanning-tree. Understanding of network protocols, network platforms such as Cisco/Arista to design and troubleshoot new implementations. Good protocol level understanding/ Wireshark. Multicast: IGMPv2/3, PIM-SM, Static RP, RP-Anycast, MSDP. IP Routing Platforms, ISR4k, ASR1K, Catalyst. Cisco/ Arista Switching Platforms Catalyst switches. strong knowledge of Switching and Switching mechanisms like CEF, TCAM. Skills Desired: Experience with MAB/ Port Security/ NAC/ 802.1x/ QoS/ IPSec is desirable. Understanding of new protocols being deployed intra and inter Data Center. AWS (or Azure cloud equivalent) is desirable. Data Center power and cooling, cabling 10/ 25G/ 40G/ 50G/ 100G. Cloud computing, Virtualization industry standard and trends, server technologies a plus. Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec. L2 and L3 QoS are a plus. Other Requirements: Manage vendors, coordinate testing and evaluate PoC. Possess ability to quickly and effectively interpret data. Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. Ability to work independently and within a global testing team environment. Excellent verbal and written communication skills are a strong must - candidate must possess excellent business writing and presentation skills. Ability to prioritize effectively with good time management skills. Excellent interpersonal skills, strong logical and analytical skills Deep sense of ownership/accountability / must think as an owner and be proactive is a huge must Ability to move quickly and multitask in a fast-paced environment. Stakeholder management and providing reports and overviews to both technical and non-technical senior management.

Job Description Senior Engineer, Machine Learning Compensation: $130,000-$140,000 + 6% Annual Bonus The Senior Engineer, Machine Learning will lead the development, testing, validation, and deployment of machine learning models that improve product performance, installation quality, outage detection, and equipment reliability. This role focuses on analyzing large-scale data generated by millions of deployed meters, sensors, radios, and connected devices to identify performance issues, detect anomalies, and drive actionable solutions. A critical requirement for this position is hands-on experience personally building and training machine learning models, along with implementing anomaly detection algorithms within those models. Candidates must have direct experience developing these models, not simply using existing models or supporting another team's development efforts. Explore the Depth of the Role Machine Learning Model Development Personally build, train, test, and deploy machine learning models, including predictive models, classifiers, and anomaly detection algorithms. Develop time-series data mining and anomaly detection solutions to identify unusual behavior, performance degradation, and potential equipment failures. Design and maintain end-to-end machine learning pipelines, from data preparation and model training through validation, deployment, and production monitoring. Monitor model performance, identify model drift, and implement improvements to maintain accuracy and reliability. Establish testing and validation methods to confirm model results against real-world data. Integrate model outputs into reporting tools and dashboards to support engineering and customer-facing teams. Technical Leadership & Collaboration Lead machine learning projects and investigations, defining technical requirements, scope, schedules, and deliverables. Establish model development standards and validation criteria. Mentor engineers and provide guidance on data preparation, model development, and deployment practices. Collaborate with software developers, data engineers, data scientists, and reliability and quality engineering teams. Communicate technical findings and recommendations to leadership and non-technical stakeholders. Data Infrastructure & Integration Develop and maintain data pipelines integrating internal and external sources, including sensor, carrier network, weather, and manufacturing test data. Work with AWS cloud infrastructure and machine learning platforms, including SageMaker, S3, EC2, ECS, and Glue. Utilize data technologies such as Elasticsearch, Amazon Redshift, and NoSQL databases. Support scalable data architecture and near-real-time analysis of large-scale time-series datasets. Qualifications: Education Bachelor's or Master's degree in Engineering, Mathematics, Statistics, Computer Science, Data Science, Data Analytics, or a related field. Equivalent practical experience may be considered. Required Experience & Technical Skills 5+ years of experience in machine learning, data science, or applied analytics. Demonstrated experience personally building and training machine learning models. Direct experience implementing anomaly detection algorithms within machine learning models you have developed. This is mandatory. Strong proficiency in Python and SQL. Experience with predictive modeling, classification, statistical modeling, and time-series analysis. Experience working with large-scale sensor, IoT, endpoint, or other time-series data. Experience designing, validating, deploying, and monitoring machine learning models in production. Familiarity with GitHub, Jupyter Notebooks, and data visualization tools. Experience with cloud-based machine learning platforms, preferably AWS. Familiarity with Elasticsearch, Amazon Redshift, Grafana, and NoSQL data stores. Preferred Qualifications Experience with IoT devices, meters, sensors, radios, or connectivity equipment. Experience managing machine learning pipelines from development through production monitoring. Understanding of product reliability, device hardware, and failure analysis. Experience integrating third-party data sources into machine learning pipelines. Ability to independently lead technical projects and communicate complex findings. Familiarity with Lean Six Sigma or other continuous improvement methodologies. Competitive Total Rewards Competitive base salary of $130,000-$140,000 plus a 6% annual bonus. Eligible for annual pay increases. Comprehensive health, vision, and dental coverage. 15 days of paid time off plus 11 paid holidays. Retirement savings plan with a 25% employer match on contributions up to 7% of eligible compensation. Additional employer contribution of 5% of eligible compensation to a Defined Contribution account annually. Access to a certified financial planner at no cost. Employer-paid basic life insurance, short-term disability, and Employee Assistance Program. Tuition reimbursement up to $5,250. Voluntary life insurance, long-term disability, accident, and critical illness coverage. Health Savings Account (HSA) and Flexible Spending Account (FSA) options.

Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description About the Job Title: Senior Product Security Engineer - Application Security Location: Greater Lowell Area, MA or Sunrise, FL (Hybrid - 3 Days Onsite) Employment Type: Contract (6 Months) Status: Accepting Candidates About the Role We are looking for an experienced Product Security Engineer to strengthen application security across enterprise technology environments. This individual will perform application security reviews, vulnerability assessments, penetration testing, and security risk evaluations for web applications, APIs, and cloud-based platforms. The ideal candidate will bring strong technical expertise in application security testing, secure development practices, cloud security, and vulnerability remediation. Experience supporting cybersecurity due diligence and technology integration initiatives is highly desirable. Key Responsibilities Assess enterprise applications, web platforms, APIs, and cloud-hosted solutions to identify security gaps and vulnerabilities. Perform application security testing using SAST, DAST, SCA, and manual penetration testing methodologies. Utilize security tools such as Burp Suite, Veracode, Checkmarx, Snyk, Fortify, or similar platforms. Evaluate API security, authentication mechanisms, access controls, and application architecture. Review secure software development practices, DevSecOps processes, and CI/CD security controls. Assess application security within AWS, Azure, and other cloud environments. Work closely with development and engineering teams to validate findings and implement remediation strategies. Support cybersecurity risk assessments, technology due diligence, and post-acquisition security integration activities. Prepare technical assessment reports, document findings, and communicate security risks to stakeholders. Required Qualifications 7+ years of cybersecurity experience, including substantial hands-on application security experience. Strong understanding of OWASP Top 10, OWASP API Security Top 10, and common application vulnerabilities. Practical experience with SAST, DAST, SCA, vulnerability assessments, and application penetration testing. Experience with tools such as Burp Suite, Checkmarx, Veracode, Snyk, Fortify, or SonarQube. Strong knowledge of REST APIs, microservices, authentication, authorization, and encryption. Experience securing cloud-based applications in AWS, Azure, or similar environments. Understanding of SSDLC, DevSecOps, and secure application architecture. Strong communication, documentation, and stakeholder management skills. Preferred Qualifications Experience with cybersecurity due diligence, M&A security assessments, or post-acquisition integration. Knowledge of application threat modeling and security architecture reviews. Familiarity with NIST, ISO 27001, OWASP ASVS, or related security frameworks. Relevant certifications such as CISSP, CSSLP, OSWE, or GWAPT. Compensation (MA Pay Transparency) Estimated hourly range: $70-$80/hr (W-2) . Final compensation will depend on relevant experience, technical expertise, and interview results.

Job Description JOB SUMMARY: The Lead Database Engineer and Administrator serves as the high-level technical authority for software engineering on a Tech Refresh contract based in Colorado Springs, Colorado. This role provides deep technical expertise in enterprise Oracle database architecture, development methodologies, system integration, and emerging technologies. The Senior Principal Software Engineer leads complex database design initiatives, advises leadership on technical strategy, and ensures engineering solutions meet mission, security, scalability, and performance requirements. The candidate collaborates closely with program leadership, architects, engineers, cybersecurity teams, and stakeholders to design and implement advanced software solutions supporting enterprise systems, cloud environments, and mission-critical platforms. This project delivers a mission-assured technical refresh of the CCIC2S Oracle database and RHEL operating environments, upgrading legacy systems to Oracle 19c and RHEL 9.7 while preserving full operational continuity. It includes comprehensive engineering, integration, cybersecurity, testing, and deployment activities to ensure zero data loss, improved performance, strengthened security, and seamless compatibility across all CCIC2S mission systems. Location will be north Colorado Springs initially and future work at Chidlaw and Peterson AFB occasionally. SUMMARY OF ESSENTIAL JOB FUNCTIONS: Technical lead experience to guide the database team, able establish priorities for tasking, and proactively address risks to achieve successful project outcomes. Serve as the primary subject matter expert for software engineering practices, frameworks, and architecture across programs and projects. Lead the design and development of Oracle Database Upgrade solution for a complex enterprise. Provide significant input into the technical solution design and architect the upgrade path for Oracle, including compatibility analysis, data migration strategies, and performance tuning. Provide input into the design for the RHEL migration plan, covering kernel compatibility, package updates, and security hardening. Be responsible for analyzing, creating, manipulating, and organizing database systems. Modify Oracle database schemas, static data load, and program documentation. Consolidate customer data to make it easily accessible and readable to users throughout their community. Work closely with the development team to update database storage architecture, troubleshoot technical issues, and create visual layouts to display data. Be responsible for developing strategic procedures and upgrades, improving database infrastructures, and managing DB systems configuration. Be handling a broad range of software and other programming tasks to ensure that their systems integrations are functional Be defining integration strategies and methods and then planning them in accordance with established deadlines and time schedules. Full life-cycle development including requirements analysis, architecture and design, coding, testing, integration, performance analysis and Data Migration Ensures software standards are met. Establish and maintain software development standards, coding guidelines, and best practices. Evaluate and recommend new technologies, tools, and frameworks to improve system capabilities and development efficiency. Support program managers and leadership with technical planning, system modernization strategies, and risk mitigation. Translate mission or business requirements into technical solutions and system designs. REQUIRED SKILLS AND EXPERIENCE: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field. 10+ years of software engineering experience including enterprise database development, design, debug, and integration of various technologies Active DoD Secret clearance at the time of application Certification Requirements: DoD 8570 IAT Level II and any Database Certification Requires a strong background in Oracle database development and Linux Experience with integration of COTS/GOTS/FOSS hardware and software into existing infrastructures. Experience with Oracle RMAN, Data Pump, GoldenGate, and Oracle Enterprise Manager. Experience of RHEL system administration, SELinux, systemd, and kernel tuning. Experience with Scripting/automation (Bash, Python, PowerShell). Knowledge of database performance tuning, backup/recovery, and disaster recovery concepts. Knowledge of the technology industry and the latest trends, as well as a strong command of programming languages or system codes. Familiarity with containerization (Docker) and virtualization (KVM/VMware) is a plus Be able to complete documentation and instructions for customers. Be able to properly evaluate sources of information to determine possible limitations in reliability or usability Strong verbal and written communication skills. Significant experience in installing, configuring, scripting, developing, testing and troubleshooting enterprise databases DESIRED SKILLS Knowledgeable of Java, VMWare Suite, Ansible Knowledge of storage, networking, and cyber to include STIGs. Ability to work independently and collaboratively with other teams. Significant relevant experience in supporting the sustainment of NISSC mission systems/subsystems. Experience with other relevant missions surrounding the NORAD-NORTHCOM, Air and Space missile warning. PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. While performing the duties of this job, the employee is regularly required to: Remain in a stationary position for extended periods of time. Operate a computer, keyboard, and other office equipment using hands and fingers. Communicate effectively in person, over the phone, and through electronic means. Occasionally move about the office to access files, office equipment, and meeting spaces. Lift and/or move up to 15 pounds as needed. Maintain specific vision abilities, including close vision and the ability to adjust focus. The Perks Comprehensive medical, dental and vision plans for you and your dependents 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability Competitive Compensation Training and development programs Major offices stocked with snacks and beverages Collaborative and cool culture Work-life balance and generous paid time off

Job Description ALINED Consulting Group is partnering with a financial services organization in Chicago seeking a Sr. Manager, Application Development to lead software engineering teams supporting Workday and other enterprise cloud-based applications. We're looking for a technical leader who has a strong foundation in software engineering and application development , along with experience supporting Workday HCM and Finance. This is not a traditional Workday functional or implementation management role. Key Responsibilities Lead a team of software developers and QA engineers responsible for developing, integrating, and supporting enterprise cloud applications. Provide technical direction across application architecture, software development, integrations, testing, deployment, and ongoing support. Oversee Workday HCM and Finance applications, determining when to leverage native Workday capabilities versus integrations or custom development. Partner with business stakeholders, architects, and technical teams to deliver scalable solutions. Drive Agile development practices, SDLC processes, CI/CD, and DevSecOps standards. What We're Looking For Strong background in software engineering , with proven experience managing application development teams. Technical experience with Workday HCM and/or Finance , including integrations and platform capabilities. Experience overseeing the development of multiple cloud-based applications. Understanding of AWS, .NET, APIs, application architecture, and modern development practices . Ability to evaluate technical solutions, guide developers, and make sound architectural decisions. Experience partnering with business stakeholders and leading enterprise application initiatives. Ideal background: Someone who started their career in software development, progressed into engineering leadership, and gained strong Workday technical expertise along the way.

Job Description About Asseta Asseta is an AI-native operating system purpose-built for UHNWIs, family offices, and RIAs, with over $130B in assets on the platform. Our flagship product, the Intelligent Family Office Suite , enables family offices to operate efficiently, securely, and insightfully in an era of generational wealth transfer and digital transformation. Our mission is to empower family offices to achieve financial excellence through intuitive, enterprise-grade software and expertise. We simplify complex wealth management and accounting, foster transparency, and ensure data security, delivering unwavering support for our clients' wealth preservation and growth. The Opportunity Asseta is seeking a Senior Software Engineer to report to our Lead Software Engineer and Chief Technology Officer. You'll design and build the features at the heart of the Intelligent Family Office Suite , owning meaningful product areas end-to-end. Working closely with product and implementation teams, you'll ship production software that directly shapes how clients manage their accounting and investment operations. As a Senior Software Engineer, You Will Design, build, and ship features across the platform, from backend services to polished user-facing experiences Own significant product areas end-to-end, scoping, implementation, testing, and delivery Build and maintain integrations with banking and third-party systems Write clean, well-tested, maintainable code and participate actively in code review Collaborate with product and implementation teams to turn family office workflows into reliable software Contribute to architecture decisions and help continuously improve engineering practices Help uphold high standards for security, performance, and data integrity across the platform Qualifications 4+ years of professional software engineering experience building and shipping production software Strong full-stack skills, with proficiency in Python, modern API design, React, and TypeScript Experience building scalable, cloud-native SaaS products, ideally on AWS Solid understanding of databases, distributed systems, testing, and secure coding practices Ability to work independently, own features end-to-end, and collaborate across functions Excellent communication and problem-solving skills Experience in fintech, accounting software, or family office/wealth management is a plus Compensation and Benefits Asseta offers competitive compensation along with a benefits package that includes: Base salary of $150,000-$225,000 Equity plan eligibility Comprehensive health, dental, and vision coverage Unlimited paid time off Conference sponsorships and training opportunities Frequent company off-sites and team-building events On-site at our New York City headquarters

Job Description C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance. With a highly integrated team of 400+ experts, for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. About Our Manufacturing Business Unit Our company is organized into unique Business Units, each delivering innovative and differentiated business technology solutions across industries. The Manufacturing Business Unit specializes in enterprise-scale manufacturing solutions that drive site- and network-level outcomes aligned to strategic objectives and KPIs. Our applications, data products, and advanced platform technologies-including AI and IoT-enable Digital Manufacturing at Scale. We primarily serve enterprise clients across Human Pharma, Animal Health, and Consumer Goods industries. Our Manufacturing Business Unit operates through three integrated functions: • Strategy & Growth - Develops differentiated offerings and industry thought leadership. • Business Consulting - Defines client-customized solutions and ensures sustained value realization. • Engineering Delivery - Delivers solution architecture, development, deployment, and sustainment. The Business Consulting function is hiring a Manager, Manufacturing Solutions Business Consultant to serve as a Product Owner and consulting lead across manufacturing digital initiatives. Position Overview The Consultant supports delivery of Digital Manufacturing initiatives by acting as a Business Analyst and/or Junior Product Owner within client engagements. This role partners closely with Managers and Senior Managers to define requirements, structure documentation, develop client-ready materials, and support Agile delivery execution. The Consultant plays a key role in translating manufacturing business needs into functional artifacts that enable engineering teams to deliver value. This is a hands-on, consulting and analytical role suited for individuals with early experience in Manufacturing OT, Manufacturing IT or technology. The role also requires a working understanding of artificial intelligence (AI), including generative AI and agentic technologies, and an interest in applying these capabilities to practical manufacturing and business challenges. Key Responsibilities Consulting & Problem Solving Support consulting engagements by analyzing manufacturing business needs, contributing to client discussions, and helping develop practical recommendations and solutions. Business Analysis & Requirements Development • Support facilitation of client workshops to gather functional and non-functional requirements. • Document business processes, current-state pain points, and future-state solution designs. • Develop structured requirements documentation, user stories, and acceptance criteria. • Assist in translating manufacturing KPIs (OEE, quality, throughput, asset performance) into measurable solution objectives. • Maintain traceability between business requirements and delivered functionality. Product & Backlog Support • Support backlog development and refinement under guidance of a Manager or Senior Manager. • Draft epics, features, and user stories aligned to defined roadmap priorities. • Participate in sprint planning, demos, and retrospectives. • Track action items, risks, and dependencies across delivery workstreams. • Assist in maintaining roadmap documentation and milestone trackers. Documentation & Presentation Development Develop high-quality client-ready materials including: Roadmap summaries Workshop outputs Business case inputs Solution overviews Executive presentation drafts: -Structure content using clear, logical storytelling and data-supported insights. -Support development of proposal materials and Statements of Work. -Ensure documentation is clear, concise, and professionally formatted. Agile & Delivery Support • Operate within Agile delivery models (Scrum, SAFe, or hybrid environments). • Support backlog grooming and sprint documentation. • Assist with tracking sprint progress and updating delivery artifacts. • Promote disciplined documentation and communication standards. Manufacturing Domain & Technical Acumen • Build working knowledge of manufacturing business processes (production execution, quality, maintenance, traceability). • Develop familiarity with manufacturing technology ecosystems • Support analysis of integration points across MES, ERP, IoT, and data platforms. AI & Agentic Solution Support • Support identification and documentation of AI-enabled use cases across manufacturing processes, knowledge workflows, decision support, and task automation. • Translate AI use cases into business requirements, process flows, user stories, acceptance criteria, test scenarios, and measurable success criteria. • Build familiarity with large language models, AI agents, retrieval-augmented generation, machine learning, and enterprise AI governance concepts. Required Qualifications • 3+ years of consulting experience in manufacturing, technology, or digital delivery environments. • Proven consulting experience supporting client discussions and helping develop practical recommendations and solutions. • Experience supporting requirements gathering and documentation. • Exposure to Agile delivery methodologies. • Strong written and verbal communication skills. • Analytical mindset with structured problem-solving capabilities. • Proficiency in presentation development tools (e.g., PowerPoint, Excel). Preferred Qualifications • Bachelor's degree • Experience in technology delivery or implementation • Experience with project management practices and project management software • Experience working with cross functional teams such as UI/UX designers, software/data engineers and end users What we offer: Competitive remuneration and various benefits: 401(k) Retirement Plan (Immediate eligibility with 100% employer match up to 4%.) Medical Insurance Maternity and Paternity Leave Long-Term Disability Bereavement leave Generous Sick Leave Internet and Phone stipend Development stipend Wellness stipend Generous Paid Time Off: 20 days in the first year, increasing to 25 days We work fully remotely but expect openness to occasional travel Company culture is rooted in respect and cooperation. You'll be working with great people, who are open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend. Additional Info: Range: $100,000 - $115,000 + Bonus Location: Remote (US East Coast) Travel: 10%

Job Description Senior Software Integration Engineer Baltimore, MD Hybrid: 3 days onsite per week Full-time, direct-hire opportunity We're seeking a Senior SW Integration Engineer to build and support integrations across enterprise applications and data platforms. This role requires strong backend engineering skills and experience taking solutions from business requirements through development, testing, and production deployment. What you'll do: Design and build integrations connecting enterprise systems through REST APIs and databases. Develop data transformation, validation, and reconciliation workflows. Translate business requirements into practical technical solutions. Use Git, testing, and secure credential management throughout development. Participate in controlled production releases, monitoring, and troubleshooting. Collaborate with engineering teams and business stakeholders throughout the solution lifecycle. What we're looking for: Ideally 5+ years of experience in backend software development, integration engineering, or data engineering. Hands-on experience building API integrations and working with SQL and relational databases. Demonstrated experience delivering and supporting solutions in production. Familiarity with source control, Agile development, testing, and release processes. Strong technical problem-solving skills and the ability to explain your implementation decisions. Snowflake experience strongly preferred; Python and Boomi or similar integration platform experience are valuable. Candidates should be comfortable discussing a solution they personally helped deliver-including the requirements, API interactions, data handling, security, and production release. This is an opportunity to apply software engineering skills to connecting enterprise platforms and automating business processes. Please apply to the role to be considered.

Job Description Location : Columbia, MD Atleast 3 days on-site Position Description : The Application Architect (Senior) manages major projects that involve providing professional support services and/or the integration, implementation, and transition of large, complex systems. This individual is responsible for performing the following tasks: The Senior AI Solution Architect designs and deploys scalable AI/ML systems, bridging business needs with technical execution. Key responsibilities include creating data strategies, selecting AI frameworks (e.g., TensorFlow, PyTorch), managing LLMs/pipelines, and providing technical leadership. This role requires 5+ years of experience in IT, machine learning, cloud platforms (AWS/Azure/GCP), and a bachelor's or master's degree in Computer Science or a quantitative field Providing design and development of e-government solutions, and taking responsibility for technical design and implementation of the architecture; Designing, developing, and maintaining infrastructure and backend applications; Providing expertise on defining the role of broadband and wireless applications; Providing definition of current State architecture blueprints; Providing expertise with web servers, gateways, application servers, and content management systems; Providing experience in web application technologies and middleware solutions; Researching new technologies and products for their applicability to business processes; Comparing various solutions and determining the most suitable; and Ensuring that development efforts are well-planned and in compliance to standards. Education: This position requires a Bachelor's degree from an accredited college or university in Engineering, Computer Science, Mathematics, or a related scientific or technical discipline. (Note: A Master's degree is preferred.) General Experience: The proposed candidate must have at least ten (10) years of experience planning, designing, building, and implementing IT application systems. This individual must have led or been chief architect in a major IT applications implementation effort. This individual must also have a strong background in software engineering principles and techniques. Specialized Experience: The proposed candidate must have at least six (6) years of experience in designing medium to large-scale sites, and management of at least five Internet projects. Provide guidance on modernization of legacy applications and refactoring into cloud-native and service-oriented architectures. Maintain technical documentation, architecture decision records (ADRs), and architectural runbooks. Mentor junior architects and senior developers on architectural thinking, scalability, and best practices. Proficient in Python, Java, or C#; familiar with CI/CD for machine learning (MLOps). Strong communication, presentation, and consulting skills for working with stakeholders and executives. Extensive IT Experience: Significant experience in software development, engineering, and IT, often moving up from roles like Data Scientist or Machine Learning Engineer. AI/ML Expertise: Proven experience in running and fine-tuning models (e.g., LLMs, LoRA, RLHF). Cloud & Data: Strong proficiency in cloud computing platforms (AWS, Azure, GCP) and data architecture. Domain Expertise: Often requires experience in specialized areas like healthcare, finance, or security-sensitive environments. At least ten (10) years of experience with architecting multi-tier web solutions At least five (5) years of experience with JavaScript frameworks such as Node.JS Strong programming skills in designing and implementation of multi-tier, distributed and highly scalable applications using Node.JS, Java, J2EE, Spring, JavaScript, Hibernate, JSON. Strong experience in developing and deploying solutions using Node.JS on Linux based AWS EC2 Cloud Infrastructure and Docker container. Experience with modern DevOps automation and modern containerization, orchestration, and virtualization technologies Experience with architecting and developing mobile applications for ios or android platforms is a plus. Experience with Test-Driven Development using automated testing frameworks such as Selenium, Cucumber and Protractor ExpediteInfoTech, Inc. is an Equal Opportunity Employer. Please carefully review the position details, including location, work authorization status and other government contractual requirements.

Job Description Senior Software Engineer, Backend - Booking Platform & APIs New York, NY We are representing a client that is hiring a Senior Software Engineer to lead the technical work and be the primary hands-on builder for our API. In your first year, multiple distribution partners and an authorized AI agent should complete real bookings through the same versioned API. You will evolve a production Rails and Postgres booking system used by millions of guests. The hard work is keeping prices and inventory correct, preventing overselling, surviving retries and partial failures, and reconciling systems when they disagree. Your ownership and team You will own the API's day-to-day technical roadmap and design decisions. In this hands-on individual contributor role, you will write production code, lead focused designs, guide migrations, and operate what you build. You will partner with our Staff Engineer on foundational domain and architecture choices. You will be the primary builder, but you will not work alone. Other backend engineers will contribute and build supply, PMS, and POS connectors using the patterns you establish. Product, Partnerships, and hotel operations will work with you from requirements through production launch. This is one of our highest-impact technical bets. What you build will determine how quickly Our client can enter new booking channels and categories. This role works from our NYC headquarters four days per week. The base salary range is $190,000-$210,000, plus equity, based on experience. What you'll do Build and launch the external Client API. Define stable, versioned contracts for live pricing, availability, holds, booking creation, changes, and cancellations. Make booking operations safe under real failures. Design idempotency, recovery, webhooks, and reconciliation for retries, timeouts, duplicates, and partial success. Evolve the core booking domain. Create clear models and invariants for products, schedules, prices, inventory, holds, carts, and bookings. Make the platform extensible. Prove that a new category such as events or food and beverage can use the shared booking model instead of requiring a separate system. Own the architecture for supply, PMS, and POS integrations. Create reusable connector patterns so other engineers can add partners without reinventing failure handling and reconciliation. Define the data contracts that keep inventory discoverable through OpenSearch. Search is supporting technology for this role, not its primary ownership area. Operate what you build. Set reliability and latency targets, and add the tests, metrics, dashboards, alerts, tracing, and runbooks needed for a critical booking path. Turn partner needs into durable platform capabilities, explain tradeoffs clearly, and raise the engineering bar through practical reviews and mentoring. How we ship We move quickly by building quality from the start. A change is done when it is tested, deployed, observable, and safe to roll back. We use AI tools aggressively, but engineers remain accountable for architecture, correctness, and production outcomes. Tech stack Backend: Ruby on Rails, Node.js Data: Postgres, MongoDB Search: OpenSearch APIs and integrations: REST, OpenAPI, webhooks Infrastructure and observability: AWS, Datadog Testing: RSpec, Playwright Who you are We encourage candidates to apply even if they do not match every line below. You have 6+ years of software engineering experience, or a track record of equivalent impact. You have designed transactional systems, built external APIs or integration platforms, and safely evolved data models in production. You understand relational modeling, concurrency, consistency, asynchronous workflows, and distributed failures. You turn complex business rules into clear boundaries, lifecycle states, contracts, and invariants. You can lead an important system as its primary builder while collaborating on foundational decisions. You care about correctness, testing, observability, and safe rollouts. You communicate directly, listen well, and improve the work of engineers around you. Ruby on Rails experience is useful, but not required. Experience with marketplaces, reservations, inventory-constrained commerce, public APIs, or third-party booking systems is also helpful. We care most about your backend judgment, track record, and ability to learn. What success looks like in 6-12 months Multiple distribution partners and an authorized AI agent complete real bookings through one reusable API. The full booking lifecycle meets agreed targets for correctness, success rate, latency, overselling, recovery, and reconciliation. Reusable contracts and connector patterns materially reduce the work required to onboard the next partner. The shared booking model supports at least one new category without a separate booking system. As the API becomes a company-wide platform, this role can grow toward Staff through demonstrated impact across the booking domain, integrations, and distribution. Benefits Health, dental, and vision coverage, with our client contributing to monthly premiums Stock options 401(k) plan Unlimited paid time off Paid parental leave

Job Description Cohu is a global supplier of semiconductor test and automation equipment. In this role you will build and sustain software that controls complex electro-mechanical test handlers used in high-volume semiconductor manufacturing. Position Summary Design and develop proprietary Windows desktop application and framework software for control machines, automation systems, and complex electro-mechanical platforms - including motion controllers, I/O systems, sensors, machine vision systems, robotics, and barcode readers. This role spans full lifecycle development-from architecture and design through integration, deployment, and customer support-focused on uptime, safety, and predictable behavior. This position is ideal for engineers who enjoy building large software systems that interact with sophisticated industrial equipment. Essential Functions / Responsibilities Design, develop, test, and integrate machine control software using C++ and C# in a Visual Studio environment. Develop automation software using object-oriented design principles and software design patterns. Integrate motion controllers, I/O systems, machine vision, robotics, sensors, barcode readers, and other industrial devices through vendor-provided Windows APIs and SDKs. Drive system architecture, interface definitions, and software design reviews; establish patterns that scale across product variants. Own customer escalation response: troubleshoot issues using logs, instrumentation, and on-equipment debugging; deliver corrective actions and prevention plans. Partner with Manufacturing and Field Service to resolve production-line and installed-base issues, restore system uptime, and improve reliability. Build verification strategies that push failure detection upstream (simulation, automated system tests, regression suites) and reduce re-occurrence. Interface with customers and cross-functional teams (EE/ME/Test/Apps) to align requirements, integration plans, and release readiness. Mentor engineers through code reviews, design feedback, and technical coaching. Required Qualifications Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related field. 10+ years of professional software engineering experience, including substantial work on automation, machine control, or complex electro-mechanical systems. Expert C/C++ skills with object-oriented design (OOD) and design patterns; ability to write maintainable, testable, production-quality code. Strong experience developing on Windows desktop applications using Visual Studio; familiarity with C# for tooling, diagnostics, or UI is preferred. Experience developing multithreaded software and event-driven software. Experience integrating external hardware using Windows APIs, SDKs, or communication libraries. Proficiency with version control and collaborative development workflows (Git preferred): code reviews, branching strategies, and disciplined change management. Demonstrated ability to troubleshoot and resolve field issues, including root-cause analysis and implementing corrective/preventive actions. Strong written and verbal communication skills; comfortable presenting designs and status to technical and non-technical stakeholders. Relevant Domain Experience (Any of the Following) Semiconductor equipment, test handlers, ATE integration, or factory automation environments. Comparable experience in industrial automation, robotics, medical devices, or high-volume product engineering with electro-mechanical systems. Preferred / Additional Skills (Highly Beneficial for Test Handler Software) State machine development, event-driven software architecture, machine sequencing, hardware integration through vendor API, motion control APIs, machine vision integration. Hardware/software integration experience (MCU/SoC peripherals, serial buses, timing/latency considerations) and familiarity with common interfaces (RS-232/RS-485, USB, Ethernet, TCP/IP, CAN, I2C, SPI). UI development experience for operator/service tools (WPF, WinForms, or Qt); ability to build effective diagnostics and recovery workflows. Build and release tooling: CI/CD pipelines (e.g., Jenkins), automated test execution, packaging/deployment, and traceable release documentation. Experience with factory/equipment communication standards such as SECS/GEM and related SEMI standards (e.g., E5/E30/E37/HSMS) and/or equipment performance tracking. Experience with simulation or hardware abstraction techniques that enable development and testing before hardware availability. Scripting and data analysis for troubleshooting (e.g., Python) and familiarity with issue tracking (e.g., Jira). Understanding of machine safety concepts: interlocks, e-stops, safe-state design, and failure modes; exposure to functional safety standards (e.g., ISO 13849) is a plus. What Success Looks Like You deliver reliable software that maintains throughput and uptime in production environments. You design scalable software architectures used across multiple products. You reduce escalation frequency by improving diagnosability and recovery behavior. You improve development velocity through pragmatic architecture, automation, and strong engineering hygiene. You mentor engineers and elevate software engineering standards across the organization. You collaborate effectively across disciplines and communicate trade-offs clearly Job Conditions / Additional Information Occasional domestic and international travel may be required (approximately 10%). Work involves extended periods at a computer workstation and may include time in manufacturing areas or at customer sites when supporting escalations. Compensation: The estimated base pay range for this position is $113,000-170,000 per year, depending on qualifications, experience, education, and other job-related factors. This range represents Cohu's good faith estimate of what it reasonably expects to pay for this role upon hire. This role may also be eligible for other compensation programs as determined by company policy. Featured benefits Medical, dental & vision insurance 401(k) with company matching contributions Employee Stock Purchase Plan Tuition assistance Disability & life insurance Profit Sharing With more than 3000 employees worldwide, we offer challenging and rewarding work experiences, generous employee benefits and a strong company culture. If you are looking for a global publicly traded company that provides you with international experience and a challenging work environment, then Cohu is your choice. Connect with Cohu Connect with your future Cohu firmly supports the U.S. national and various state and local policies of equal employment opportunity which are designed to provide equality of employment and advancement opportunities to every individual without regard to unlawful considerations of race, color, religion, national origin, citizenship status, ancestry, gender, gender identity or gender expression, age, marital status, sexual orientation, disability, medical conditions, pregnancy, genetic information, military or veteran status or any other legally protected category. In addition, reasonable accommodations are available to qualified disabled individuals, upon request. Globally, Cohu is committed to full compliance with all applicable laws and regulations governing employment, in the U.S. and in all other locations around the world where we have operations.

Job Description Reports To: Chief Technology Officer Location: Remote (United States; Eastern, Central, or Mountain time zone preferred) Department: IT/Engineering Classification: Full-Time, Exempt About Student First Technologies Student First Technologies builds Theodore, the platform behind education funding programs across the country. Scholarship-granting organizations, state agencies and nonprofits use it to run Education Savings Accounts, tax-credit scholarships and family grants, from application and eligibility through disbursement and reporting. Over more than a decade, Theodore has administered over $1.3 billion in education funds for more than 300,000 students and families in 15+ states. We believe every child is unique and deserves an education tailored to their gifts and talents. Our software makes that possible at scale: it gives programs the guardrails the law requires, and gives families, schools and vendors an easy way to take part. When a family is approved for a scholarship or pays a tutor from their ESA, that runs through our code. The work is growing. ESA programs are expanding fast, and the new federal scholarship tax credit takes effect January 1, 2027, bringing donor-funded scholarships to every state that opts in. Programs trust us with public funds and family data, so we hold a SOC 2 Type 2 certification and are audited every year. We're a small engineering team behind a large, mature Ruby on Rails application that's in active transition toward modern Rails conventions. That makes this a good place for engineers who like improving real systems while shipping real features. The Role You'll own features end to end in Theodore, our Rails monolith. That means reading a state's program rules, designing the data model, shipping the change, and answering the support question two weeks later. You'll work closely with product and program operations, and leave each part of the codebase a little better than you found it. You'll weigh in on architecture, while our Staff engineer sets direction across the whole system. What You'll Do Build and maintain features across our portals for families, schools, vendors and program administrators. Turn program rules (eligibility, award amounts, approved expenses) into configuration and code that differs by program. Build features that move real money through our banking integrations: ACH disbursements, virtual card payments, reimbursements and reconciliation. Correctness matters more than speed here. Build auditable systems that track every dollar in a ledger and record who changed what, and why. Protect sensitive family data, including financial and personal records, in everything you build. Write thorough RSpec tests, and improve the coverage and reliability of the ones we have. Modernize older code toward current Rails conventions, both as part of feature work and as dedicated projects. Review pull requests with care, and write your own so they're easy to review. Take turns on business-hours triage: investigate production issues, trace them through logs and data, and fix the root cause. What You'll Bring 5+ years building and maintaining production web applications, ideally including several years of Ruby on Rails. Strong SQL and PostgreSQL skills: you can read a query plan, write a safe migration on a large table, and model data that has to stay consistent. Comfort with server-rendered Rails (ERB and Stimulus), plus plain JavaScript and CSS. A testing habit. You write specs because they let you change code safely, not because CI requires them. Experience working in a large codebase you didn't write, and judgment about when to refactor and when to leave it alone. Experience working on a remote team. Clear written communication. Most of our collaboration happens in tickets, pull requests and Slack. We prefer Rails experience, but we'll consider strong engineers from other web stacks, such as Python/Django, PHP/Laravel, or JavaScript/Next.js, who are ready to get productive in Rails quickly. Nice to Have Experience with payments, banking or fintech, such as banking API integrations, ACH, card issuing, ledgers or reconciliation. Experience building multi-tenant SaaS. Experience running background jobs and third-party API integrations at scale. Experience with edtech, government or nonprofit software. Experience with Hotwire and/or ReActionView. Experience with Heroku, AWS and GitHub Actions. How We Work Every change goes through a pull request with review and a passing CI run. Work is tracked in Asana and discussed in Slack; we write things down. We ship small, safe changes frequently, and document every release for compliance. We use AI coding tools every day, but a person owns every line we ship. Whether an agent wrote the code or you did, you're expected to understand it, test it and stand behind it. Work Environment Fully remote within the United States. The team meets in person about once a quarter for a few days of team-building. Other travel, such as for a client meeting, is rare. The company pays for all work-related travel. Engineers are rarely expected to attend client meetings. Primarily computer-based work, including extended periods of reading code and documentation and participating in video meetings. We believe that healthy conflict produces great work, and strive to create opportunities for everyone, regardless of role or seniority, to share their knowledge and perspective toward that end. Benefits Flexible time off with no set cap. We want you to take the time you need to rest and recharge. Health insurance, including HSA- and FSA-eligible plan options. Dental and vision insurance. Life insurance. Short-term disability, fully paid by the company. Hospital, critical illness and accident insurance. Equal Opportunity Student First Technologies is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected characteristic. This description reflects the role's current responsibilities, which may change as the company evolves.