Senior Engineering Manager jobs at HDR

Application deadline: Feb 16, 2026 Looking for your next challenge? North America Sort Centers (NASC) are looking for a skilled, highly motivated Sr. Operations Engineer to join the Asset Maximization Planner (AMP) team. The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services (ATS) group, linking Fulfillment Centers to the Last Mile. The experience of our customers is dependent on our ability to efficiently execute volume flow through the middle-mile network. This position will have an impact on both network design and process design engineering for the NASC. If the notion of leading engineering projects amongst the world's brightest talent to full potential excites you; if the idea of using ground breaking technologies to develop sortation and logistics systems in the multi-national juggernaut that is Amazon has your attention, then keep reading. Are you an innovative leader that wants to be part of world-class sortation centers and logistics systems across the globe? Do you want a high level of ownership in solving complex problems? Does the challenge of designing systems and processes that leverage automated material handling equipment, packaging technologies and robotics appeal to you? If so, we have the job for you! We're looking to add a high-impact operations engineer to our team. In this role, you will collaborate with internal and external teams to develop innovative and cost-effective solutions for our sortation and distribution systems. Your projects will be a variety of template-based and designed-from-scratch along with ownership of modeling end to end process flow of each Design. You will work with a team of highly skilled and highly engaged engineers in a fast-paced and often ambiguous environment. Our team works on hundreds of projects each year. You will be challenged; you will learn; you will work on high impact, high visibility projects; you will grow. A day in the life • Coordinate efforts to model optimal solutions and processes for the sortation and transportation network through material flow, process design, site layout, and intellectual property considerations • Working with teams across Amazon to identify opportunities and provide data driven decision support to improve capacity and material flow optimization tools, material flow performance, simulation, and emulation of existing site performance. •Simultaneously manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners • Building strong partnership with operations field leaders to understand improvement opportunities. • Analyzing and solving operational barriers with a focus on understanding root causes and driving forward solves. • Collaborating with BI/Data Engineer teams to develop new and existing data sources to continually improve data quality. • Effective communication skills, ability to execute the vision, detailed roadmap, and specific technical solutions. • Travel 30% - 50% domestically although travel intensity can be variable. About the team The NASC Under-the-Roof Optimization AMP Team's sole objective is to develop tools for under the roof simulation and optimization, supporting the needs of our internal and external stakeholders (i.e. Capacity Planning, Labor Planning, NASC Engineering, Finance, Safety and Operations). We develop products and tools to evaluate what-if design and operations scenarios for new and existing sort centers to understand their robustness, stability, scalability, and cost-effectiveness. We conceptualize new data science solutions, using optimization and machine learning platforms, to analyze new and existing process, identify and reduce non-value added steps, and increase overall performance and rate. BASIC QUALIFICATIONS- 7+ years of manufacturing or manufacturing engineering experience - Bachelor's degree - Knowledge of Microsoft Office products and applications at an advanced level PREFERRED QUALIFICATIONS- Knowledge of Lean Manufacturing & Continuous Improvement principles & techniques - Experience in complex work environments, including (but not limited to robotics, automation, diagnostic and test equipment) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ****************************************************** Colorado $142,800 - $193,200 annually National $128,600 - $212,600 annually

At CGS Business Solutions, we're dedicated to helping skilled IT and business professionals take the next meaningful step in their careers. Whether you're exploring project-based consulting roles or seeking a long-term position, we connect you with opportunities that align with your expertise, your goals, and your growth trajectory. Backed by deep industry insight and our proven TalentFlow™ Framework, we ensure every role we present is thoughtfully matched to your skills, passions, and career ambitions. If you're ready for a role that challenges you and moves your career forward, we're currently partnering with leading organizations to fill the following opportunity: As a Cloud Engineering Manager, you will have the opportunity to spearhead cloud initiatives and drive strategic innovation. In this influential role, you will collaborate with diverse, cross-functional teams, providing indirect leadership to enhance our cloud engineering efforts and FinOps initiatives. Your responsibilities will include optimizing our cloud infrastructure for peak performance and cost efficiency, while mentoring application teams on effectively leveraging cloud technologies. You will play a key role in cloud architecture decisions and have the freedom to explore and integrate cutting-edge cloud services and technologies. Major Duties and Responsibilities: Cloud Strategy Development: Collaborate with various teams to develop a comprehensive cloud strategy, defining architecture frameworks, standards, and governance for security, compliance, and cost-effectiveness. Application Development Support: Guide application teams in designing scalable and secure cloud solutions, offering architectural consultation on cloud-native developments. Cost Optimization with FinOps: Partner with finance teams to supervise and optimize cloud spending, supporting budgeting, forecasting, and cost-efficient resource utilization. Leadership and Collaboration: Lead cloud initiatives and provide technical mentorship through indirect influence, acting as a trusted advisor to multi-functional teams without direct supervisory control. Cloud Governance and Compliance: Ensure compliance with industry standards and policies, developing a governance framework for risk, security, and operational control. Additional responsibilities as assigned. Education and Experience: Bachelor's Degree in Computer Science, or Information Technology, or a related field. 5+ years of experience in Cloud Engineering. Extensive knowledge of cloud platforms such as AWS and Azure, with strong experience in cloud cost management and optimization using FinOps practices. Proficient in cloud security, governance, and compliance standard processes. Knowledge and Skills: Skilled in cloud automation and orchestration tools such as Terraform, Ansible, and Kubernetes, with strong full stack developer experience particularly in DevOps and cloud infrastructure. Proficient in DevOps practices and continuous integration/continuous deployment (CI/CD) tools. Experienced in hybrid cloud environments, cloud migration strategies, and holds a proven record in software architecture and design. Proven track record to lead multi-functional teams indirectly, coupled with strong problem-solving, analytical, and project management skills. Effective communicator with the ability to engage varied stakeholders, and capable of working independently with minimal direction. About CGS Business Solutions CGS Business Solutions is a nationally recognized leader in IT staffing and consulting, delivering top-tier talent across Applications, Cloud & Infrastructure, Cybersecurity, Data & AI, and Engineering. As a multi-year INC 5000 winner and one of California's Best IT Recruitment Firms, we're known for combining boutique-level service with enterprise-grade results. We're also proud to be named one of the Orange County Business Journal's Fastest Growing Companies, earning the distinction for five consecutive years as we continue to expand into new markets across the U.S. Companies trust CGS to attract, engage, and retain elite technology talent-giving them the advantage they need to lead with confidence in a rapidly evolving digital landscape

Threat Detection Engineering Manager will lead a team of skilled cyber security engineers responsible for designing, developing, and maintaining advanced threat detection capabilities across enterprise and manufacturing environments. This role is pivotal in proactively identifying malicious activity, reducing dwell time, and enhancing the organization s ability to detect and respond to cyber threats. The ideal candidate will combine deep technical expertise with strong leadership and a passion for innovation in cybersecurity. Key Responsibilities: Manage and mentor a team of detection engineers, fostering a culture of innovation, collaboration, and technical excellence. (this can be an opportunity for a Team Lead ready who is to take over team) Define and execute detection engineering strategy aligned with business risk and organizational goals. Lead initiatives to automate detection engineering workflows and improve team efficiency. Oversee the full lifecycle of detection engineering projects, including prioritization, resource allocation, and performance tracking. Technical Develop and optimize detection logic, signatures, and analytics across SIEM, EDR, and cloud-native platforms. Oversee hypothesis-based threat hunting campaigns performed by team members Integrate threat intelligence into detection and response workflows to enhance situational awareness. Translate threat actor behaviors into actionable detections using frameworks like MITRE ATT&CK and the Cyber Kill Chain. Conduct threat modeling and detection gap analysis to continuously improve detection coverage. Ensure detection logic is tested, validated, and tuned for accuracy and performance. Stay current with emerging threats, tools, and techniques to maintain cutting-edge detection capabilities. Organizational Collaborate with SOC, threat intelligence, and incident response teams to align detection efforts with operational needs. Partner with IT, OT, and service providers to ensure visibility and coverage across enterprise and industrial environments. Communicate detection strategies, risks, and outcomes effectively to technical and non-technical stakeholders, including executive leadership. Ensure detection engineering practices support compliance with internal policies and external regulatory requirements. Minimum Requirements: Bachelor s degree in Cybersecurity, Computer Science, Information Technology, or a related field (completed and verified prior to star) from an accredited university. 7+ years of experience in cybersecurity, with at least 3 years in a leadership or technical lead role focused on detection engineering or threat detection. Displays a proven track record in leading and managing a threat response team with emphasis on proactive threat identification, analysis and incident identification. Ability to apply threat intelligence to identify, assess, and report on current advanced threats Hands-on experience with SIEM platforms (e.g., Splunk, Microsoft Sentinel) and EDR solutions (e.g., CrowdStrike, Defender for Endpoint) Relevant certifications such as GIAC (GCIA, GDAT, GCTD), CISSP, or equivalent are highly desirable. Ability to present technical concepts to non-technical audiences Presents a detailed understanding of emerging threat landscape, including threat actor classifications Keeps abreast of adversary tactics, techniques and procedures, intelligence reporting Stays current with the cyber intelligence community to maintain/develop formal and informal sources of information and incorporate industry best practices where applicable Ability to lead, coach and advise team members; effectively manages across cultural and generational boundaries Demonstrates excellent analytical and problem-solving skills Deep understanding of threat detection technologies including SIEM, EDR, and cloud-native tools. Proficiency in detection scripting languages such as KQL and Sigma Strong knowledge of adversary tactics and techniques, including MITRE ATT&CK and the Cyber Kill Chain. Ability to define and execute detection engineering strategies aligned with business risk. Skilled in cross-functional collaboration with SOC, IR, threat intel, and IT/OT teams. Passion for automation and continuous improvement in detection engineering workflows.

We're seeking a dynamic Director of Engineering to define and execute our technological vision. This role combines deep technical expertise with strong leadership to inspire and guide engineering teams toward innovation, scale, and measurable business impact. You will be responsible for building and scaling our data platform, enabling AI/ML capabilities, and leading high-performing engineering teams. Partnering with product, analytics, and business stakeholders, you will unlock the value of data and machine learning to power customer experiences and drive growth. The ideal candidate has a proven track record of growing engineering organizations, fostering collaboration, and aligning technical strategy with company objectives. A forward-thinking mindset, strong architectural background, and passion for emerging technologies like AI/ML will be key to long-term success. This role reports directly to the VP of Engineering. What you'll own: Lead the planning, execution, and delivery of software, data, and AI/ML engineering initiatives. Build and evolve a scalable data and machine learning platform that supports analytics, predictive models, and intelligent applications. Oversee engineering practices for data pipelines, model training, deployment, and monitoring. Develop and mentor high-performing engineering teams, driving technical excellence and professional growth. Partner with Product Management to define roadmaps, estimate projects, track development progress, and ensure successful launches. Establish technical goals and architectural standards aligned with business objectives. Recruit, onboard, and retain diverse technical talent while cultivating a collaborative culture. Collaborate with product, engineering leadership, and agile coaches to define and track KPIs for success. Oversee operational budgets for technology stack, infrastructure, and personnel. What you're great at: Analytical thinker with an entrepreneurial mindset and a bias for action. Strong architectural and design expertise in modern software, data, and AI/ML systems. Hands-on familiarity with machine learning lifecycle management (MLOps) and integrating ML into production systems. Builder of positive, learning-oriented team cultures that encourage innovation and ownership. Qualifications: 7+ years of experience in software engineering, data engineering, or product development. 5+ years of experience leading and scaling high-performing technical teams. Expertise with cloud technologies (AWS preferred) and modern data/ML platforms. Strong familiarity with Agile methodologies, Git, JIRA, and collaborative engineering practices. Experience with DevOps/DevSecOps and MLOps tools. Proven experience applying AI/ML techniques (e.g., NLP, recommendation systems, predictive analytics) to deliver business value.

Full Stack Engineer / Engineering Manager (Hybrid Technical & Leadership Role) Salary Range: $160k to $175k Are you a full-stack engineer who loves building end-to-end products, owning architecture decisions, and stepping into a leadership mindset-without needing a formal management title? We're looking for a Full Stack Engineer / Manager who can blend hands-on engineering excellence with strategic thinking and team leadership. 🌟 What We're Looking For (Ideal Profile) Data & Analytics Background - You've worked with data platforms, analytics tools, or have a foundation in data science, engineering, or mathematics. Full-Stack Technical Strength - Python, React, ETL/data pipelines… you're comfortable across the stack. Strategic Product Thinker - You understand why you're building something, not just how. Leadership Mindset - You can lead timelines, priorities, and communication, even without a formal management title. 🧩 Desired Experience Bachelor's or master's degree in Computer Engineering, Computer Science, or a related field. 5-7 years of full-time software engineering experience. Expert-level Python skills. Demonstrated growth in technical ownership, architecture, or system design. Experience leading technical initiatives or mentoring engineers. Strong front-end skills: HTML, CSS/Tailwind, JavaScript/TypeScript, React. Strong back-end experience: Python or Node.js. Experience building and deploying REST or GraphQL APIs. Experience with cloud platforms (AWS, Azure, or GCP) and Docker. Experience with relational databases (PostgreSQL, MySQL, etc.). Strong familiarity with Git/GitHub. Excellent communication and teamwork skills. ✨ Nice to Have Experience in energy or carbon systems analytics. UI/UX or data visualization experience (e.g., dashboards). Background in AI/ML projects. Experience launching products from 0→1 in a startup or venture environment. 💡 Why This Role Is Unique This is a rare opportunity for an engineer who wants to stay hands-on while also influencing product direction, guiding junior engineers, and helping shape the technical foundation of a rapidly growing team.

Senior Full Stack Software Engineer / Engineering Manager Salary Range: $150k to $170k As the Senior Engineer / Engineering Manager, you'll serve as both a technical leader and people manager, guiding the design, development, and scaling of software systems, including our core data pipelines, customer portal, and cloud infrastructure. You'll take ownership of key engineering decisions, shape our technical roadmap, and help build and mentor a high-performing team. This role is ideal for someone who enjoys being hands-on while also driving strategy, structure, and collaboration across teams. What You'll Do: Lead the design, development, and implementation of new software products and features based on business priorities and carbon analytics needs. Partner closely with Analytics and Delivery teams to ensure smooth customer delivery, understand evolving requirements, and align engineering resources effectively. Develop deep domain knowledge of technology stack and business model, including core principles of carbon and economic modeling. Define and maintain long-term technical architecture, ensuring scalability, reliability, and reduction of technical debt. Manage, mentor, and develop engineers at various levels - reviewing designs, overseeing code quality, and fostering growth. Drive the evolution of CO2-ing, our core analytical pipeline, along with our portal ecosystem and cloud infrastructure. Oversee development cycles, balancing technical rigor with business priorities and delivery timelines. Champion engineering best practices, cultivate a collaborative and inclusive team culture, and model technical excellence. Provide input to product strategy, ensuring robustness, scalability, and maintainability across the full stack. Monitor emerging technologies and third-party cloud solutions to identify opportunities that can enhance capabilities and value proposition. Desired Experience: • A bachelor's or master's degree in computer engineering, computer science, or related field. • 5-7 years of full-time software engineering experience. • Strong proficiency in Python is a must. • Track record displaying increasing ownership over technical architecture and/or system design. • Track record of leading technical initiatives and mentoring other engineers. • Proficiency in front-end technologies such as HTML, CSS/Tailwind, JavaScript/TypeScript and popular frameworks like React. • Experience with back-end technologies and runtime environments such as Python or Node.js. • Experience building and deploying APIs (REST/GraphQL). • Experience with cloud computing platforms (any of the big three Azure, AWS, GCP) and container technologies (Docker) • Experience with one or more database systems (PostgreSQL, MySQL, etc.) • Experience with Git and GitHub. • Strong communication and teamwork skills. Nice to Have: • Prior roles or familiarity with energy or carbon systems analytics is a plus. • Demonstrated UI/UX experience or data visualizations (dashboards). • Demonstrated experience on AI/ML projects is preferred. • Demonstrated experience building and launching products from scratch in a startup or new venture setting is highly valued.

The Senior Manager of Manufacturing Engineering is responsible for planning, directing, and coordinating engineering, operations excellence, automation, and maintenance activities across the plant to ensure efficient and reliable manufacturing operations. This role drives the introduction of new products, develops processes to increase productivity, supports on-time delivery, and reduces costs through improved production methods. As part of the plant leadership team, this leader ensures Safety, Quality, Delivery, Inventory, and Productivity targets are achieved through strong Lean Manufacturing practices. Key Responsibilities Leadership & Operations Lead and oversee a manufacturing engineering team of approximately six professionals. Plan, organize, and assign departmental workloads to maximize personnel efficiency. Collaborate with cross-functional leadership to establish priorities and align departmental goals. Direct the selection, training, performance management, and development of department staff. Represent manufacturing engineering in product development initiatives and ensure manufacturability. Process Improvement & Lean Implementation Drive Continuous Improvement and Lean Manufacturing initiatives across the facility. Implement world-class operational excellence capabilities and best practices. Analyze and improve manufacturing processes to reduce costs, improve throughput, and increase efficiency. Support problem-solving and performance improvement efforts across all operational levels. Engineering & Equipment Management Coordinate plant layout design, tooling, machinery, equipment upgrades, and process changes. Manage capital equipment acquisition, installation, and commissioning. Oversee tooling operations to ensure accuracy, quality, and safety compliance. Maintain preventive maintenance (PM) requirements, schedules, and execution performance. Maintain critical spare parts inventories and equipment specifications to ensure operational readiness. Cross-Functional Collaboration Work closely with production, quality, safety, and inventory planning teams to ensure operational alignment. Partner with internal stakeholders to evaluate vendors, equipment options, and process enhancements. Collaborate with maintenance teams to ensure equipment reliability and support production needs. Consult with engineering, purchasing, suppliers, and production leadership regarding improvements, tooling, materials, and process optimization. Budgeting & Compliance Prepare and manage the departmental budget. Ensure compliance with health and safety regulations and internal policies. Monitor plant downtime and implement corrective actions to maintain availability goals. Required Qualifications Bachelor's degree in Industrial Management, Manufacturing Engineering, Industrial Engineering, or related field (or equivalent experience). Minimum 10 years of manufacturing leadership experience. Experience managing direct reports (e.g., Production Managers) and a diverse workforce. Strong analytical, problem-solving, and organizational skills. Proven supervisory and leadership capabilities. Proficiency in Microsoft Office Suite. Advanced knowledge and hands-on experience with Lean Manufacturing / Toyota Production System (7-10 years required). SAP proficiency required. Experience working in high-mix, low-volume production environments. Flexible schedule and ability to support operations as needed. Preferred Qualifications Six Sigma certification (strong plus). Experience with ADP HRIS & payroll systems. Strong communication skills and ability to interact effectively across all organizational levels. Ability to manage complex projects and lead cross-functional teams. Demonstrated success in Continuous Improvement leadership. Competencies Leadership & Teamwork Analytical Thinking Critical Thinking & Problem Solving Communication & Interpersonal Skills Planning & Organizational Skills Confidentiality & Professionalism Customer Service Orientation Quality and Productivity Focus

*** Must be authorized to work in the U.S. for any employer, now and in the future, without sponsorship*** ***Third-party candidates will not be considered*** Our client is seeking a Manager of Data Engineering to lead our client's data platform team and drive the evolution of their enterprise-scale streaming data infrastructure. This leader will bring deep technical expertise in Apache Kafka and the Confluent Platform, guiding a talented team while defining the strategic direction for real-time data systems. Key Responsibilities Lead, mentor, and develop a team of data engineers specializing in streaming technologies. Design and implement scalable, event-driven data architectures using the Confluent Platform. Establish best practices for stream processing, governance, and platform reliability. Oversee performance, capacity, and cost optimization across Kafka clusters. Partner with business and technology teams to deliver impactful data solutions. Drive modernization initiatives and integrations with platforms such as Databricks and Snowflake. Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. 2+ years of people management experience in technical teams. 5+ years of hands-on experience in data engineering with distributed systems. Expertise in Confluent Platform, Apache Kafka, Airflow, and PySpark. Strong understanding of real-time data processing, event-driven architectures, and performance tuning. Excellent communication and leadership skills. Benefits Hybrid work flexibility (onsite and remote) Comprehensive medical, dental, and vision coverage Company-paid life and AD&D insurance 401(k) retirement plan Flexible PTO Career development opportunities Employee purchase program About SOLTECH SOLTECH is a leading national technology company based in Atlanta. Driven by a steadfast commitment to integrity, strong company values, and customer centricity, SOLTECH has achieved national recognition and success. For more than 25 years, SOLTECH has been part of the thriving technology community and has been recognized by The Atlanta Journal-Constitution as a Top Workplace, as well as one of the Best & Brightest Companies To Work For In The Nation. With a team of exceptional engineers, designers, and strategists, SOLTECH has consistently delivered cutting-edge custom software applications, technology consulting services, and IT staffing solutions that address complex business challenges. Join us on our quest to make the world a better place by bringing to life innovative software solutions that make our lives easier, safer, healthier, and more productive. If you are an IT professional searching for your next career opportunity, we look forward to matching your expertise and interests with a position where you can thrive. Learn more about SOLTECH careers at **************************************** SOLTECH has a fundamental belief in the importance of good human relations and in the dignity of each individual. Here at SOLTECH, equal employment opportunity is more than just a legal phrase-it is a matter of principle, a commitment to our people, and something we are proud to practice. As an equal opportunity employer, we will consider you without regard to your race, color, age, sex, sexual orientation, gender identity, religion, marital status, national origin, disability, or veteran status.

Why This Role Matters: You're not just filling a seat-you're shaping the future of how we build, test, and deliver software at scale. This is a mission-critical leadership role designed for someone who thrives on transforming complexity into clarity and driving excellence across every layer of the organization. If you've ever wanted to leave a legacy of world-class engineering practices, this is your stage. What You'll Own: You'll be the architect and evangelist of our enterprise-wide Quality Engineering strategy-a blueprint that sets the gold standard for governance, compliance, and modern testing practices across all teams. Your influence will ripple through every pillar of the organization, ensuring that quality isn't just a checkbox, but a culture. Define the QE Playbook: Establish governance frameworks, enforce standards, and set policies that become the backbone of our engineering excellence. Drive Modernization: Champion automation, DevOps, and shift-left testing to slash cycle times and elevate quality. Think big: reducing environment readiness from 4 weeks to 1 week. Lead with Metrics: Build a data-driven quality ecosystem-100% coverage, zero leakage into production, and velocity gains that redefine “doing more with less.” Governance & Influence: Run steering committees, executive reviews, and cross-functional forums that align product, development, and testing under one cohesive vision. Innovation in Practice: Design and implement automation frameworks, test data management strategies, and environment provisioning that scale with speed and precision. Risk & Compliance: Align QE practices with regulatory and security mandates without slowing down innovation. Your Leadership Impact: You'll lead 4-5 direct reports, each managing specialized teams (5-10 people) in: Test Environment Management Test Automation Test Data Management KPI & Governance This is a high-visibility role-you'll be the voice of quality in executive rooms and the hands-on leader who ensures delivery teams have the tools, environments, and data they need to succeed. What We're Looking For: Proven QE Visionary: 15+ years in Quality Assurance for complex systems and large-scale programs. Automation Guru: Deep experience in designing and deploying automation frameworks, CI/CD pipelines, and DevOps quality gates. Strategic Influencer: Ability to define enterprise-wide standards and lead organizational change with confidence. Metrics-Driven Leader: Skilled in risk-based validation and quality reporting that drives decisions. Tech Savvy: Familiarity with microservices, event-driven architecture, and emerging tech like AI/ML in QE. Cloud Expertise: Hands-on experience with large-scale cloud-native projects (AWS preferred). Regulatory Mindset: Comfortable navigating governance, compliance, and audit requirements. Technical Toolkit: Jira, Jenkins, automation frameworks, test management tools, defect tracking systems, and cloud foundational services (AWS VPCs, EC2, Security Groups). Education: BS in Computer Science, Information Systems, or equivalent technical discipline. Why You'll Love It Here: This isn't just about testing-it's about building a culture of quality that accelerates innovation. You'll have the autonomy to make bold decisions, the authority to influence enterprise strategy, and the resources to turn vision into reality. If you're passionate about transforming QE into a competitive advantage, we want you on our team.

Title: Data Engineering Manager with Microsoft Fabric & Azure Experience - (Only w2 role and No C2C Accepted) Description: STG is a SEI CMMi Level 5 company with several Fortune 500 and State Government clients. STG has an opening Data Engineering Manager with Microsoft Fabric & Azure Experience Please note that this project assignment is with our own direct clients. We do not go through any vendors. STG only does business with direct end-clients. This is expected to be a long-term position. STG will provide immigration and permanent residency sponsorship assistance to those candidates who need it. Position Description: We are seeking a strategic and hands-on Manager of Data & Analytics to lead the development and governance of master and engineering data assets across the enterprise. This role will oversee a team of analytics engineers and collaborate with business and technical stakeholders to deliver trusted, reusable, and scalable data products using Microsoft Fabric and dbt. You will be responsible for shaping the data architecture and transformation pipelines that support enterprise-wide reporting, analytics, and operational decision-making, with a strong emphasis on master data domains (e.g., customer, product, vendor) and engineering data (e.g., BOMs, specifications, process metrics). Key Responsibilities: Lead a team of analytics engineers in designing and building data models and pipelines using dbt and Microsoft Fabric tools (OneLake, Lakehouse, Warehouse, Power BI). Own the strategy and execution for master data and engineering data enablement, ensuring consistency, quality, and governance across domains. Collaborate with data governance, IT, and business teams to define data standards, stewardship processes, and metadata management practices. Develop and maintain semantic models in Power BI that support enterprise reporting and analytics use cases. Drive adoption of best practices in data modeling, transformation, testing, and documentation. Monitor and optimize performance of data workflows and ensure reliability of production pipelines. Support data integration efforts across ERP, PLM, MES, and other enterprise systems. Mentor team members and foster a culture of continuous improvement and innovation. Required Qualifications: 5+ years of experience in analytics engineering, data engineering, or related roles, with 2+ years in a leadership or managerial capacity. Proven expertise in SQL, preferably in dbt (Core or Cloud) and Microsoft Fabric. Strong understanding of master data management (MDM) principles and engineering/manufacturing data structures. Advanced SQL skills and experience with large-scale data environments. Familiarity with data governance frameworks, data lineage, and metadata tools. Experience with Git-based version control and CI/CD pipelines. Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications: Experience with Power BI DAX and semantic modeling. Knowledge of Microsoft Purview or other data cataloging tools. Background in engineering data. Familiarity with Python or other scripting languages. Experience working in Agile or DevOps environments. Additional Information: Resume Submittal Instructions: Interested/qualified candidates should email their word formatted resumes to Vasavi Konda - vasavi.konda(@.)stgit.com and/or contact @(Two-Four-Eight) Seven- One-Two - Six-Seven-Two-Five (@*************. In the subject line of the email please include: First and Last Name: Data Engineering Manager with Microsoft Fabric & Azure Experience. For more information about STG, please visit us at ************** Sincerely, Vasavi Konda| Recruiting Specialist “Opportunities don't happen, you create them.” Systems Technology Group (STG) 3001 W. Big Beaver Road, Suite 500 Troy, Michigan 48084 Phone: @(Two-Four-Eight) Seven- One-Two - Six-Seven-Two-Five: @************(O) Email: vasavi.konda(.@)stgit.com

Title: Processing Engineering Manager (Small Molecules + API) Industry: Pharmaceutical CDMO About the Role CSG are partnered with a rapidly growing global CDMO specialising in small-molecule development, API manufacturing, and pharmaceutical intermediates. The organisation operates multiple international facilities and supports leading pharma and biotech companies through the full development and commercial lifecycle. As the business continues to expand its technical capabilities, they are seeking an experienced Process Engineering Manager to lead process development, scale-up, and manufacturing support activities within their small-molecule and API operations. This role is well-suited for a hands-on technical leader who thrives in a dynamic environment and is passionate about driving process excellence, operational reliability, and continuous improvement. Position Summary The Process Engineering Manager will oversee a team responsible for developing, optimizing, and transferring chemical processes from laboratory or pilot scale into full commercial manufacturing. You will serve as the technical authority for process engineering activities, partnering closely with R&D, Manufacturing, Quality, EH&S, and Project Management to ensure robust, compliant, and efficient production of APIs and intermediates. This is a strategic, high-visibility role with direct influence on plant performance, operational safety, process robustness, and customer satisfaction. Qualifications: Bachelor's degree in Chemical Engineering Master's degree or PhD in Chemical Engineering or related discipline Additional training in process safety, cGMP, Six Sigma, or project management is a plus 8-12+ years of experience in small-molecule/API process engineering or chemical manufacturing Demonstrated success in process development, scale-up, and tech transfer Experience in a GMP-regulated CDMO, pharmaceutical, or fine chemical environment

Responsibilities: Business & Product Strategy Deeply understand the business of Digital Banking - from member needs to operational processes to revenue and engagement levers. Translate business objectives into a clear product roadmap and measurable outcomes. Partner with business and technology leadership to prioritize initiatives that drive member value and growth. Technical Expertise Work closely with engineering and architecture teams to translate product vision into scalable, performant digital solutions. Understand system dependencies, integration patterns, and constraints across Salesforce, core banking, and digital experience layers. Evaluate technical trade-offs and ensure alignment with long-term platform strategy. Analytics & Insight Define, track, and analyze KPIs for digital adoption, engagement, and performance. Partner with Data and Analytics teams to establish dashboards and reporting that inform decision-making. Use data to articulate the “why” behind product outcomes and continuously drive improvement. Financial Management Lead CapEx and OpEx planning and management for Digital Banking initiatives in partnership with Finance, IT, and Consumer Bank leadership. Track spend, forecast investment needs, and ensure alignment between financials and strategic priorities. Provide clear reporting on financial performance, ROI, and project value realization. Quarterly Planning Organize and lead quarterly planning sessions across Consumer Banking and IT. Align stakeholders around shared priorities, resourcing, and sequencing. Foster a culture of transparency, accountability, and results. Requirements: Bachelor's degree in Business, Computer Science, Engineering, or related field; MBA or advanced degree preferred. 8+ years of experience in Product Management or Technical Product Management; experience in Digital Banking or FinTech strongly preferred. Must have leadership experience. Strong understanding of digital channels (mobile and online banking), APIs, cloud platforms, and core systems integration.

Vice President of Engineering Holmdel, NJ (Hybrid - 3 days onsite) Index Engines is a leader in cyber resiliency, enabling organizations to trust, recover, and rely on their data-no matter the threat. Our flagship solution, CyberSense, delivers 99.99% accuracy in detecting corruption, helping minimize the impact of ransomware. We partner with industry leaders like Dell Technologies, IBM, Infinidat/Lenovo, and Hitachi Vantara to provide integrated, AI-powered cyber recovery across both primary and backup storage environments. The Role We're looking for a VP of Engineering to lead our engineering team through rapid product development cycles, champion agile methodologies, and align engineering with business goals. Reporting directly to the CEO, you'll deliver scalable, secure, high-performance software while fostering a collaborative, accountable culture. You'll work closely with product, customer success, and executive leadership to ensure engineering is a true business driver. What You'll Do Lead, grow, and mentor a high-performing engineering organization across software development, QA, DevOps, and architecture. Drive agile best practices for sprint planning, backlog management, and timely delivery of high-quality releases. Collaborate with Product Management on strategic roadmaps. Ensure top standards for code quality, security, performance, and scalability. Lead architectural and technology decisions to modernize and evolve our platform. Implement OKRs/KPIs to measure efficiency and team performance. Champion a DevSecOps culture with CI/CD at the core. Partner with executives to align technical solutions with long-term customer and business needs. Oversee budgets, resources, and vendor relationships. Drive talent acquisition and professional development across the team. What We're Looking For 10+ years in software engineering, including 5+ in senior leadership (Director, VP, or above). Proven track record leading engineering teams in agile/Scrum or SAFe environments. Deep expertise in secure software development, cloud (AWS/Azure), and modern architectures (microservices, APIs). Background in enterprise software, cybersecurity, or data management. Experience with compliance-focused solutions (e.g., data governance, DLP, eDiscovery) a plus. Strong communication and collaboration skills with technical and non-technical stakeholders. Bachelor's degree in CS, Engineering, or related field (advanced degree preferred).

Brillio is a global digital transformation partner helping leading Healthcare and Life Sciences organizations reimagine their businesses through data, AI, and digital product innovation. Our Consulting & Advisory practice partners with CXOs to define business and technology strategy, design operating models, and build next-generation products and platforms that create measurable outcomes in speed, experience, and affordability. Within Healthcare, Brillio is driving the next era of PBM and pharmacy transformation - leveraging digital, AI, and interoperability to reshape patient access, provider collaboration, and value-based healthcare ecosystems. Role Overview We are seeking a Senior Manager - Consulting (PBM Product Strategy & Transformation) who combines deep domain expertise in the PBM ecosystem with strong experience in digital product strategy, data modernization, and AI-enabled transformation. This role is ideal for a strategic consultant or product leader who has partnered with PBMs or payer pharmacy divisions to build digital platforms, modernize benefit operations, and drive AI-powered clinical and financial outcomes. You will act as both a strategic advisor and product strategist, working with client executives to define transformation roadmaps, lead product discovery, and shape scalable, data-driven solutions across the PBM value chain. Key Responsibilities Define product and digital transformation strategies across the PBM lifecycle - from formulary design and claims processing to clinical programs, member engagement, and network optimization. Lead consulting and product strategy engagements focused on: AI-driven formulary and benefit optimization Digital prior authorization and utilization management Pharmacy network and reimbursement optimization Member affordability, adherence, and savings programs Interoperable data and analytics platforms for PBM operations and reporting Translate business goals, regulatory requirements, and operational complexities into product architectures, platform blueprints, and MVP roadmaps. Collaborate with Brillio's AI Foundry, Data Engineering, and Product teams to design AI-first PBM solutions that are compliant, explainable, and value-driven. Partner with client product, IT, and clinical operations teams to launch and scale digital products with measurable ROI. Define KPIs and business value frameworks to track adoption, outcomes, and financial impact. Contribute to Brillio's PBM IP and accelerator portfolio, co-developing assets such as benefit simulation engines, AI adjudication models, or affordability dashboards. Build and mentor a cross-functional team of consultants, product managers, and domain specialists delivering PBM transformation programs. Support practice growth and go-to-market efforts, contributing to proposals, thought leadership, and client solutioning. Required Experience 10-12 years of consulting, product strategy, or transformation experience, with a strong focus on Healthcare Payers and PBMs. Deep understanding of PBM operations and value chain, including formulary management, claims adjudication, rebate management, benefit design, specialty pharmacy integration, and regulatory compliance. Proven success in defining or managing digital product portfolios or transformation programs within PBM or payer environments. Experience leveraging AI/ML and advanced analytics in use cases such as cost optimization, adherence prediction, fraud/waste/abuse, or patient affordability. Strong background in product strategy and agile delivery - translating business needs into platform requirements and MVPs. Familiarity with healthcare interoperability and data standards (NCPDP, FHIR, HL7). Consulting experience with top-tier or healthcare-specialized firms preferred. Excellent executive communication, storytelling, and stakeholder management skills. Preferred Qualifications MBA or Master's degree in Healthcare, Business, or Engineering. Prior experience with leading PBMs or payer pharmacy divisions (e.g., CVS Caremark, Express Scripts, OptumRx, Navitus, Prime Therapeutics, MedImpact, etc.). Understanding of rebate and contracting analytics, 340B program impact, and regulatory frameworks (CMS, ERISA, state pharmacy mandates). Demonstrated ability to drive cross-functional product innovation involving clinical, financial, and technology teams. Track record of contributing to practice or IP growth within a consulting or digital organization. Why Brillio Join a fast-growing consulting and advisory practice driving the digital reinvention of healthcare ecosystems. Shape next-generation PBM platforms and AI-first solutions that redefine access, affordability, and outcomes. Collaborate with industry leaders, innovators, and Brillio's AI Foundry to deliver measurable transformation. Be part of a flat, entrepreneurial culture that rewards initiative, innovation, and tangible results. Grow your career toward Associate Director or Director-level leadership, leading Brillio's PBM product strategy and consulting portfolio.

We are partnering with a prominent organization in the financial services industry to recruit a highly accomplished and detail-oriented Director of Software Engineering specializing in Java. This is an exceptional opportunity to lead the development of next-generation, highly scalable, and resilient cloud-based clearing applications, playing a pivotal role in the future of digital transformation for our client. Key Responsibilities and Impact As the Director of Software Engineering, you will manage, mentor, and collaborate with a team of skilled software engineers, architects, and product owners to successfully deliver critical business and operational functionality for internal and external users. Strategic Leadership: Manage a distributed development team, ensuring alignment and coordination with internal stakeholders and external vendors. Engineering Excellence: Champion the optimization of application performance and resilience through rigorous analysis, code refactoring, and system tuning efforts. Technical Vision: Recommend and drive the adoption of architectural changes, new technologies, and tools that enhance the efficiency and quality of our client's systems and development processes. Problem Solving: Engage proactively in technical decision-making, applying creative solutions to complex technical challenges, including coding, testing, troubleshooting, debugging, and documenting systems. Talent Management: Build, manage, and mentor a high-performing team of software developers, fostering continuous improvement within the team and across the organization. Qualifications and Experience We are seeking a seasoned engineering leader with deep expertise in large-scale, distributed Java solutions. Required Technical and Leadership Expertise Management & Mentorship: 8+ years of experience in team building, management, and mentorship. Java Mastery: 8+ years of hands-on experience in Java, specifically Java 8+, demonstrating deep knowledge of its internal workings. System Design: 8+ years of experience developing software using Object-Oriented Design, advanced patterns (e.g., AOP), and multi-threading for high-speed distributed solutions. Messaging: Proven experience with distributed message brokers such as Kafka, RabbitMQ, ActiveMQ, or Amazon Kinesis. Development Practices: Expert level proficiency following Git workflows. Desired Technical Assets Cloud Engineering: Experience with cloud technologies and migration strategies, preferably with AWS foundational services (VPCs, Security Groups, EC2, RDS, S3, KMS, AWS CLI, IAM, etc.). DevOps: Working knowledge of DevOps tools such as Terraform, Ansible, Jenkins, Kubernetes, and Helm, with experience building CI/CD pipelines. Testing: Familiarity with testing frameworks like Junit and Citrus. Data Stores: Experience working with various database types, including Relational, NoSQL, Object-based, and Graph databases. Monitoring: Familiarity with monitoring tools and frameworks like Splunk, ElasticSearch, Prometheus, and AppDynamics is a plus. Education and Attributes Education: A Bachelor of Science degree in Computer Science or a similar technical field is required; a Master's degree is preferred. Certifications (A Plus): OCP Java SE 8 Programmer Certification and/or AWS Certified Solutions Architect - Associate Level. Professional Attributes: An intellectually curious and eager learner who is a dedicated team player, communicating effectively, and operating with a flexible mindset to achieve organizational objectives. If you are a proven engineering leader ready to make a significant impact on the financial technology landscape, we encourage you to apply.

AI for Data Governance Product Lead (Remote) Execute the strategy, roadmap for enterprise data governance and AI-driven automation products. This role combines product management expertise with technical skills in AI agent development, enabling governance adoption and automation across Collibra, Databricks Unity Catalog, and Snowflake. Key Responsibilities Product Strategy & Roadmap o Define vision and roadmap for AI-powered data governance solutions. o Align product initiatives with enterprise data strategy and compliance requirements. AI Agent Development o Design and oversee development of AI agents for governance automation (metadata ingestion, lineage tracking, risk scoring). o Implement agent orchestration using Collibra AI Governance and MCP Server. Platform Integration o Drive integration between Collibra DIP, Databricks Unity Catalog, and Snowflake. o Ensure interoperability through APIs and automation frameworks. Stakeholder Engagement o Collaborate with engineering, data governance teams, and business units to prioritize features. o Conduct workshops and demos to drive adoption of AI-driven governance tools. Compliance & Risk o Implement guardrails and audit trails for AI agent actions. Performance Metrics Delivery of AI agent-driven governance features on roadmap. Increased automation and reduced manual governance tasks. Adoption rate of governance workflows across enterprise platforms. Compliance adherence and audit readiness. Minimum Skills Required: Required Skills 5+ years in Product Management with the following: o Experience in defining product vision, writing PRDs, and managing backlogs. o Strong understanding of agile methodologies and stakeholder management. Technical o Hands-on experience with Collibra DIP, Databricks Unity Catalog, and Snowflake. o AI agent development skills (Python, APIs, orchestration frameworks). o Familiarity with MLOps and AI governance standards. AI Amplification Preferred Certifications Collibra Certified (Data Steward, Workflow Developer, AI Governance Specialist) or Any Data Governance tool. o Ability to leverage AI for workflow automation and governance adoption.

Software Imagineering Engineer - Executive Demos We are seeking a visionary Software Imagineering Engineer to join Anaplan's innovation team, where you'll craft compelling "art of the possible" and "co-engineeer" software demonstrations that showcase the future potential of our platform. In this unique role, you'll combine technical expertise with creative storytelling to develop highly polished, executive-ready demos that illustrate breakthrough use cases, emerging technologies, and innovative applications of Anaplan's capabilities. This is an Individual Contributor role, but you will be the Director and owner of this process. You'll work at the intersection of cutting-edge technology and business imagination, translating complex technical concepts into visually stunning, intuitive demonstrations that inspire and inform C-suite audiences about what's possible with connected planning. As our Software Imagineering Engineer, you'll collaborate closely with product leadership, engineering teams, and executive stakeholders to identify transformative demo opportunities and bring them to life through rapid prototyping, advanced UI/UX design, and seamless integration work. Your demonstrations will serve as powerful tools for executive presentations, board meetings, customer showcases, and strategic planning sessions, requiring you to balance technical innovation with practical business relevance. The ideal candidate brings: 5-10+ years of full-stack development experience Proven skill in prototyping and interactive demo creation Deep expertise in advanced UI/UX design and user storytelling Strong background in seamless integration across systems and tools Exceptional experience in AI technologies Exceptional design sensibilities Expertise in modern web technologies and data visualization The ability to work autonomously while delivering pixel-perfect results under tight deadlines An "innovation mindset" and experience creating prototypes, building demos from scratch, and imagining possibilities This role offers the opportunity to shape Anaplan's future narrative and directly influence how executives and customers envision the evolution of integrated business planning technology.

Job Description: IT Presales - AI & Data Engineering Specialist Fulltime We are seeking a dynamic IT Presales professional with deep expertise in AI, Data Engineering, and Cloud technologies to lead solutioning and proposal development for enterprise clients. This role demands someone who lives and breathes AI and Data, with the ability to translate complex business challenges into innovative, scalable solutions. The ideal candidate will combine strong technical credibility in Data Platforms, AI/ML, and Analytics with exceptional presales skills, including crafting proposals, responding to RFPs/RFIs, and engaging with senior client stakeholders. Key Responsibilities Solutioning & Proposal Development Own end-to-end presales activities including RFP/RFI responses, proposals, and solution presentations. Design and articulate solutions leveraging Data Engineering, AI/ML, Cloud platforms (AWS, Azure, GCP), and modern analytics frameworks. Develop pricing models and effort estimations for T&M, SOW, and Managed Services engagements. Ensure proposals meet compliance standards and align with client objectives. Client Engagement & Strategic Positioning Partner with Sales and Account teams to understand client needs and position AI/Data-driven solutions. Conduct client workshops and solution walkthroughs to demonstrate technical depth and business value. Build trusted relationships with client stakeholders, influencing decision-making at senior levels. Innovation & Practice Enablement Collaborate with AI/ML and Data Practices to incorporate emerging technologies into proposals. Contribute to reusable assets such as accelerators, PoCs, and case studies to strengthen InfoVision's positioning. Drive thought leadership in AI and Data Engineering within presales and client engagements. Qualifications & Experience 10-12+ years of IT services experience, with at least 5 years in presales or solutioning roles. Proven expertise in Data Engineering (ETL, Data Warehousing, Cloud Data Platforms) and AI/ML solutioning. Strong understanding of IT delivery models (onsite/offshore/nearshore) and engagement types (T&M, SOW, Managed Services). Familiarity with modern data architectures, Cloud migration strategies, and AI/ML adoption frameworks. Excellent communication, presentation, and stakeholder management skills. Telecom domain experience preferred. Preferred Skills Ability to influence CXO-level stakeholders and articulate AI/Data-driven business value. Experience working on large-scale RFPs for Fortune 500 clients. MBA or advanced degree is a plus.

Job Title: Full Stack Tech Lead Engineer Duration: 12 months+ Contract Notes: Please note this role requires the resource to be on site in Madison, WI one day per month. Details of the request include: • Must-have skill requirements of the role: Java 17, Spring, Spring Boot, Hibernate, GCP, Docker, Kubernetes, GitLab, Terraform. Contract Description: Key Responsibilities: Lead Development Efforts: Oversee the design, development, and implementation of scalable applications using Java 17 and associated frameworks (Spring, Spring Boot, Hibernate). Collaborate with Stakeholders: Work closely with architects and stakeholders to gather requirements and ensure alignment on project goals and deliverables. Manage Cloud Infrastructure: Utilize knowledge of multi-cloud environments (GCP and AWS) to deploy and manage applications, ensuring optimal performance and security. Containerization and Deployment: Implement and manage containerized applications using Docker and Kubernetes, ensuring efficient deployment processes. Version Control and Documentation: Maintain code quality and version control using GitLab, while documenting processes and best practices for team reference. Qualifications: Proven Experience in Java: Solid experience with Java 17 and frameworks such as Spring, Spring Boot, and Hibernate is essential. Front-End Technology Familiarity: Experience with front-end technologies (Vue.js, ReactJS, NestJS, AngularJS) is preferred but not mandatory. Database Knowledge: Strong understanding of on-premises databases and experience with cloud databases (Postgres, DynamoDB). Multi-Cloud Proficiency: Familiarity with GCP is a must; AWS experience is a plus. Hands-On Development Skills: Must be a 100% hands-on developer with the ability to quickly learn and apply Docker, Kubernetes, and Infrastructure as Code (IaC) using Terraform. The candidate is required to be onsite at the offices in Madison, Wisconsin, United States, for one day each month.