186 jobs found

Job Description Looking for meaningful, high-impact work with a growing consulting firm? We've built a new kind of part-time role for an entrepreneurial-minded professional where we offer the opportunity to work 15-20 hours per week while maintaining a day job if you choose. We are creating a new type of part-time job for the experienced data professionals out there that take pride in being able to do things 2-3 times faster than the average and thrive in an environment where your value is tied to your output and not the politics of an organization. If this sounds like you, read on. Responsibilities: Generally speaking, a Sr Data Engineering Consultant will be helping the client build API connections and integrations, analytical databases, and driving the adoption of DataBricks across the organization. You will be an expert in the data engineering field with practical experience and can do just about anything when it comes to driving data engineering value in an organization. The specific responsibilities will continue to evolve as we get more and more guidance from the client and ideas from you! We need someone that takes pride in rolling up their sleeves to create lots of value for the client through data warehousing, enhancing the data infrastructure, integrating automation, optimizing SQL queries, building data connections and just generally being a technical expert as we help drive our clients along the digitization path towards becoming more advanced. Qualifications: You should be exceptionally talented in any and all data engineering methodologies (i.e. Python coding, data warehousing, SQL coding, data architecture development, building data pipelines end to end and integrating data connections etc.) You need to have experience working in the cloud and with data technologies (i.e. you need to be able to build data pipelines end to end). Examples include working in Azure Data factory, AWS lambda functions, Snowflake, Databricks etc. Your skills can be acquired through the school of hard knocks or through a high-value education (possibly in computer science or another technical field). We are flexible on the education piece, but not the experience piece (you need a minimum of 4 years experience in data engineering) but we prefer 10 years or more. You need to be entrepreneurial-minded and flexible in your approach to creating value. You need to have experience integrating data engineering solutions within larger firms Experience in the Utilities Industry would be a plus. Additionally, you need to be the "most productive" person in your space - because this is a 15-20 hour / week role, we need to produce results with less time. If you are someone that thrives on being hyper-productive and that gives you satisfaction and energy, that is a good sign. Our Business: While we continue to evolve in our offerings, at our core, we are a Data-Focused Consulting Firm . Our projects span across the following 9 service areas: Data Architecture, Data Engineering, Data Automation, Data Analytics & Modeling, ETL & Data Visualization, Application Development, Upskilling & Technical Project Management, Product Strategy, Strategic Communications. We are a "people first

Job Description IRIS direct end client which is one of the leading payroll firm is urgently looking to hire Data Engineer - Databricks & AWS - Roseland, NJ (Hybrid). This is a Contract opportunity. Data Engineer - Databricks & AWS Roseland, NJ 07068 (Hybrid/ 3 days office & 2 days work from home) Nature of Contract - Contract opportunity Job Description: Role Overview: We are seeking an experienced Data Engineer with strong expertise in Databricks , Medallion Architecture , Delta Lake , PySpark/Python , and AWS to build and optimize scalable enterprise data platforms. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines on Databricks. Implement and manage Medallion Architecture (Bronze, Silver, Gold layers). Build curated datasets for analytics, reporting, and AI/ML initiatives. Integrate data from multiple structured and unstructured data sources. Optimize Databricks workloads, Delta Lake tables, and query performance. Ensure data quality, monitoring, validation, and governance standards. Collaborate with business stakeholders, architects, and analytics teams. Required Skills 8+ years of Data Engineering experience. Strong hands-on experience with Databricks , Delta Lake , and Medallion Architecture . Proficiency in Python/PySpark and advanced SQL . Experience building enterprise-scale ETL/ELT solutions. Strong experience with AWS cloud services. Solid understanding of Lakehouse Architecture and data modeling. Experience with GitHub, Jira , and Agile methodologies. Preferred Skills Experience with Vector Databases, Graph Databases, or NoSQL technologies. Exposure to AI/ML, RAG architectures, and LLM-based data platforms . Experience with Terraform, Jenkins, Splunk, or Dynatrace Looking forward to hear from you Best Regards, Bharat Sharma Sr. Talent Acquisition - Executive Iris Software 200 Metroplex Drive, Suite Edison, NJ 08817 Mail:

Job Description Job Summary: We are looking for an experienced Network Architect with deep expertise in Cisco Application Centric Infrastructure (ACI) and cloud networking to design, deploy, and optimize enterprise network infrastructure. The ideal candidate will be proficient in Cisco ACI fabric design and management, with strong skills in integrating cloud environments such as AWS, Azure, or Google Cloud into a hybrid or multi-cloud architecture. Key Responsibilities: •Architect, design, and implement Cisco ACI solutions for scalable and secure data center networks. •Lead the integration of Cisco ACI with cloud networking environments (AWS, Azure, GCP), ensuring seamless connectivity and security. •Develop and enforce network policies, segmentation, and micro-segmentation strategies using Cisco ACI and cloud-native tools. •Collaborate with cloud architects and security teams to build hybrid cloud networking architectures. • Design, implement, and support F5 BIG-IP solutions, including LTM, GTM/DNS, SSL offloading, traffic management, high availability, and application delivery services. •Troubleshoot complex network issues spanning on-premises Cisco ACI fabric and cloud networks. •Monitor network performance, capacity planning, and recommend improvements. •Stay current with Cisco ACI enhancements, cloud networking trends, and emerging technologies. •Support the implementation of IaC (Infrastructure as Code) for network components using tools like Terraform, CloudFormation, or ARM templates. •Provide technical leadership and mentoring to network and cloud teams. •Stay up-to-date on emerging technologies, trends, and best practices in cloud and enterprise networking. Preferred Certifications: •Cisco Certified Network Professional Data Center (CCNP Data Center) •Cisco Certified Internetwork Expert (CCIE) - Data Center or Enterprise Infrastructure •AWS Advanced Networking Specialty •Microsoft Certified: Azure Network Engineer Associate •Google Cloud Professional Cloud Network Engineer

Job Description Immediate need for a talented Snowflake Data Engineer. This is a Fulltime opportunity with long-term potential and is located in New York City, NY(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-35391 Pay Range: $130000 - $135000/annum. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; Data Engineer, Snowflake, ETL, SQL, Data Structures Experience: 10-15 Years Strong experience in Data Engineering with expertise in designing and building scalable data pipelines. Hands-on experience with Snowflake, including data modeling, performance tuning, and data warehousing solutions. Proficient in ETL development, data integration, and transformation processes across multiple data sources. Advanced knowledge of SQL for complex query development, data analysis, and optimization. Solid understanding of Data Structures and data processing concepts to support efficient data management. Experience collaborating with cross-functional teams to deliver high-quality, reliable, and scalable data solutions. Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar fulltime positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Job Description AI Optimization Engineer Location: Charlotte, NC (Hybrid, 3 days on-site at Optimist Hall Location) or Remote within the U.S. (must be able to work EST hours) Compensation: $80 - $95/hour plus benefits Duration: 12-month contract with strong potential for extension or conversion to full-time employment Employment Requirements: W-2 only. No Corp-to-Corp or 1099 arrangements. Successful candidate must be able to work on W-2 without visa sponsorship both now and in the future. ABOUT THE ROLE Our Client is seeking an AI Optimization Engineer to develop and support the optimization engine at the core of their Capital Investment Planning & Prioritization Tool (CIPT). This tool empowers planning teams to make data-driven decisions about which capital investments to fund, when, and why, by transforming complex business rules into robust, explainable, and auditable optimization models. The role involves designing, building, testing, and maintaining advanced mathematical optimization models-primarily using Mixed-Integer Linear Programming (MILP)-and integrating predictive analytics and benefit measures into portfolio planning. You will work closely with data and ML engineers, leverage cloud-based solutions (primarily AWS), and utilize modern software development practices, including AI-enabled tools like GitHub Copilot and Spec-Driven Development. The ideal candidate combines strong optimization and software engineering fundamentals with a willingness to learn new AI-driven approaches, ensuring solutions are mathematically correct, reproducible, and transparent for planners, finance partners, and regulators. WHAT YOU'LL DO Translate complex capital planning business rules-including budget, resource, cash-flow, jurisdictional, and portfolio constraints-into mathematical optimization models. Formulate, implement, and tune Mixed-Integer Linear Programming (MILP) models using Python frameworks (e.g., Pyomo, PuLP, OR-Tools) and commercial/open-source solvers (e.g., Gurobi, CPLEX, HiGHS, CBC). Integrate predictive model outputs (e.g., Probability of Failure, Remaining Useful Life) and benefit measures (e.g., reliability, safety, financial, NPV) into optimization objectives for portfolio planning. Design, build, and maintain scenario optimization workflows, including scenario creation, copying, optimization across planning cycles, and deterministic run harnesses for reproducible results. Develop diagnostic and infeasibility analysis capabilities (e.g., constraint relaxation, irreducible infeasible subsets, clear error messages) to help planners understand optimization outcomes. Evaluate and recommend solvers and modeling approaches based on solution quality, run-time performance, licensing cost, and operational fit. Package and deploy optimization workloads as scalable cloud services (e.g., AWS Batch, Fargate, Lambda, Step Functions) with REST APIs, leveraging Infrastructure as Code tools (e.g., Terraform). Collaborate with data and ML engineers to integrate asset-health predictions and ensure seamless data flow into optimization models. Build automated test suites for optimization models, including unit tests for constraints, regression tests, reproducibility checks, and comparisons against historical results. Profile and tune model performance using reformulation, tighter bounds, decomposition, warm starts, and solver parameter tuning to meet run-time and scalability targets. Produce clear, explainable outputs for planners and stakeholders, including binding constraints, shadow prices, scenario comparisons, and investment selection rationale. Document model formulations, assumptions, and limitations for business owners, auditors, and future engineers. Contribute reusable optimization components, model templates, test harnesses, and engineering accelerators for broader team and organizational use. Utilize GitHub, GitHub Copilot, and AI agents to enhance software development, testing, and delivery processes; gain hands-on experience with agentic software engineering and automation workflows. Prepare, validate, and troubleshoot large input datasets and database integrations (e.g., PostgreSQL) for optimization models, ensuring data quality and version control. Participate in technical learning activities, communities of practice, hackathons, and innovation events to continuously expand cloud, AI, and optimization engineering skills. WHAT YOU BRING Associate's degree in Information Technology or related field required; Bachelor's or Master's in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field preferred. 5+ years of relevant work experience in optimization, software development, or decision-support applications. Hands-on experience designing, building, and supporting optimization models, especially Mixed-Integer Linear Programming (MILP) using frameworks like Pyomo, PuLP, OR-Tools, or Gurobi Python API. Proficiency with commercial or open-source solvers (e.g., Gurobi, CPLEX, HiGHS, CBC) and strong understanding of linear and integer programming, including advanced formulation techniques (e.g., binary selection variables, logical/indicator constraints, big-M, multi-period timing, precedence constraints). Experience modeling knapsack-style and resource-constrained selection or scheduling problems, multi-objective or weighted-objective optimization, and tradeoff analysis. Ability to diagnose and improve optimization models (e.g., infeasibility, unboundedness, performance tuning, solver settings, reformulation, bounds tightening, decomposition). Strong Python programming skills for optimization, data processing, and service development. Experience developing applications or services on AWS or similar cloud platforms, with familiarity in compute-intensive and batch workloads (e.g., AWS Batch, Fargate/ECS, Lambda, Step Functions, S3, RDS, SageMaker). Familiarity with Infrastructure as Code tools (e.g., Terraform) and modern application architectures (APIs, containers, serverless, event-driven, distributed systems). Experience with Git and GitHub for source control and collaborative development, and interest in AI-enabled development tools (e.g., GitHub Copilot, AI agents, Spec-Driven Development). Experience working with relational, NoSQL, or cloud-based databases (PostgreSQL preferred), including data modeling, validation, and troubleshooting application/data-access issues. Understanding of determinism and reproducibility in solver-based systems (e.g., MIP gaps, tolerances, threads, seeds), and familiarity with sensitivity analysis, duals, and shadow prices. Strong communication skills and ability to explain technical concepts and optimization results to business users, planners, and stakeholders. Experience with capital planning, portfolio optimization, asset management, or utility planning domains is a plus. Experience contributing to reusable software components, frameworks, templates, or shared engineering solutions is a plus. Participation in technical learning activities, communities of practice, hackathons, or innovation events is a plus. Willingness to expand cloud engineering and AI-enabled development skills as part of the role. Familiarity with financial evaluation concepts (e.g., present value, NPV, escalation, discounting) and predictive modeling outputs (e.g., probability of failure, remaining useful life, risk scoring) is a plus. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

Job Description Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Cloud Solution Architect In this role, you will be responsible for coding, testing and delivering high quality deliverables, and should be willing to learn new technologies. Role Description The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will define the target-state architecture, establish migration patterns and standards, validate solution designs, and ensure all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Qualifications Strong years of enterprise architecture and software engineering experience. years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architecture, infrastructure automation, resiliency, security, and disaster recovery. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage in senior technology and business leadership. Key Responsibilities Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision-making. The approximate annual base compensation range for this position is $55000 to $68500. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity. Work-from-Anywhere Roles - "Los Angeles California-based candidates are not eligible for this role" Location-based Roles (e.g., Richardson roles - metro area can be adjusted by role location) - "Los Angeles, California based candidates are not eligible for this role. area candidates are eligible for this role only Why join Genpact? • Lead AI-first transformation - Build and scale AI solutions that redefine industries • Make an impact - Drive change for global enterprises and solve business challenges that matter • Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Job Description QE Automation Lead Role Overview A growing fintech and commercial lending platform is standing up a modern Quality Engineering practice centered on automated regression, continuous testing, and release readiness. We are seeking a hands on QE Automation Lead to drive the technical automation strategy, architect scalable frameworks from the ground up, and elevate engineering standards across distributed delivery teams. In this role, you will partner closely with Architecture, Product, DevOps, and Development to shift from manual verification to robust, pipeline-gated automated quality gates. What You Will Do Define & Own Strategy: Lead the automation strategy, technical roadmap, and quality direction across multiple product delivery streams. Architect Frameworks: Design, build, and maintain scalable, reusable automation frameworks and test libraries using Playwright with TypeScript across UI, API, integration, and data validation layers. Integrate with CI/CD: Embed automated test execution and quality gates directly into CI/CD pipelines to provide rapid feedback and enforce automation within the Definition of Done. Establish Standards: Set best practices for test architecture, code reviews, test data management, branching, maintainability, and reporting. Drive Shift-Left Quality: Collaborate with Product and Engineering to improve story testability, acceptance criteria, and in-sprint automation. Transition Legacy Testing: Lead the systematic shift from manual regression to automated suites, capturing edge cases and retiring manual effort as coverage expands. Make Quality Measurable: Define and track key engineering metrics, including defect escape rates, flaky test frequency, execution speed, pass rates, and coverage trends. Root Cause & Risk Analysis: Direct root cause analysis for recurring or complex defects, isolating environment, data, application, and test issues. Mentor & Lead: Guide, pair with, and coach quality engineers across distributed teams to raise technical capabilities and code quality. Explore Emerging Tools: Evaluate and safely adopt modern testing tools, containerized environments, and AI-assisted automation techniques. What You Bring 8+ years of experience in software quality engineering, with at least 3 years providing technical leadership or driving automation initiatives across multiple engineering teams. Advanced hands-on experience designing, developing, and scaling test automation frameworks using Playwright and TypeScript. Strong proficiency in API testing, service integration, backend validation, SQL, and robust test data management. Experience integrating test automation into modern CI/CD pipelines with parallel execution, cross-browser coverage, and automated reporting. Practical background testing full-stack applications and enterprise platforms (such as Salesforce). Solid grasp of software architecture, object-oriented design patterns, clean coding standards, and maintainable test structures. Proven ability to influence, align, and mentor distributed teams without relying solely on direct reporting lines. Strong communication skills with experience presenting quality metrics, release risks, and trade-offs to technical and business stakeholders. Strong working knowledge of Agile/Scrum, DevOps, Jira, Confluence, Zephyr Scale, and Git-based workflows. Experience in financial services, fintech, or regulated, high-availability environments is a strong plus. Preferred / Nice-to-Have Skills Experience with additional languages and frameworks such as Python, Java, Selenium, Cypress, Rest Assured, or Pytest. Experience migrating legacy automation frameworks to Playwright. Familiarity with AWS cloud services, Docker/containerized test execution, and observability tools. Performance testing experience with k6 or JMeter, along with web accessibility standards. Experience leveraging generative or AI-assisted testing tools for test design and maintenance. Industry certifications (ISTQB, AWS, Agile, or DevOps).

Job Description Job Title: VP of QA Location: New York City, NY Type of hire: Full time Job Description : Role: VP of QA Responsibilities: Lead QA Automation for UI and Back-End. Experience: Strong manual testing background transitioning into automation. Domain Knowledge: Capital Management and Trading experience. Technical Skills: Combination of UI Automation, Back-End Automation Team Size: 2-3+ resources, with plans to grow. Hands-on: Yes. Must be actively involved in testing and automation to understand project status and deliverables. Release Cycle: Weekly Dev releases; QA must align with the development team. Lead SDET - UI & Backend Automation Role Overview North Rock is looking for a hands-on Lead SDET with strong experience in both UI and Backend test automation to lead and build a unified QA automation framework for its in-house trading platform. The ideal candidate should have a strong foundation in manual testing, advanced automation experience across UI and Backend, and the ability to lead a growing QA team while remaining technically hands-on. The platform covers order management, execution, and data analysis, with a React/TypeScript frontend and a distributed, event-driven backend. Key Responsibilities Lead and develop UI and Backend QA automation. Design, build, and maintain a unified automation framework covering UI, API, Kafka, database, integration, and performance testing. Develop UI automation using Playwright, TypeScript, and JavaScript. Build Backend automation using Python, Java, REST APIs, WebSockets, and Kafka. Lead end-to-end testing across UI, services, messaging, and databases. Establish QA processes, test strategies, and automation standards. Own performance, load, integration, regression, and reliability testing. Integrate automated test suites into CI/CD pipelines. Work closely with Development teams to support weekly releases. Lead and mentor QA resources as the team grows. Collaborate with business analysts, traders, and engineering teams to ensure quality delivery. Required Skills & Experience 5+ years of hands-on QA automation experience. Strong experience in both UI and Backend automation. Experience with Playwright, TypeScript/JavaScript, and Python. Experience with Java, REST APIs, WebSockets, and Kafka. Strong SQL and database testing experience. Experience with React applications and complex UI workflows. Experience with distributed systems and event-driven architecture. Performance and load testing experience. CI/CD experience with Azure DevOps, Jenkins, or GitHub Actions. Experience with Linux, Docker, AWS, and infrastructure automation. Strong understanding of test frameworks, integration testing, and automation best practices. Previous manual testing experience is highly desirable. Nice to Have Capital Markets, Trading, or Buy-Side experience. OMS/EMS, FIX protocol, market data, order execution, and risk management knowledge. Experience with Electron, OpenFin, or similar desktop environments. Kubernetes, Terraform, Grafana, and OpenTelemetry. Experience leading and mentoring QA teams. Key Requirement: Looking for a technical QA Lead who can handle both UI and Backend automation, lead the overall QA automation strategy, and actively contribute to the weekly release cycle

Job Description Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Cloud Network Engineer to design and run the network that connects a federal customer's private cloud, data centers, and four public cloud providers. You will build hub-and-spoke topologies, dedicated cloud interconnects, and firewall policies that put Zero Trust principles into practice across AWS, Azure, Google Cloud, and Oracle Cloud. You will work with cloud engineers, security specialists, and customer network teams to integrate cloud networks with the customer's enterprise network and WAN. You will then keep that connectivity secure, observable, and resilient in production. Key Responsibilities Design and implement hub-and-spoke network architectures across AWS, Azure, GCP, and OCI, integrated with the customer's WAN and DNS services. Provision and manage dedicated connections and VPNs: AWS Direct Connect, Azure ExpressRoute, Google Cloud Interconnect, OCI FastConnect, and IPsec site-to-site VPN. Configure BGP routing, route tables, transit gateways, and failover between on-premises data centers and cloud regions. Create and maintain firewall policies, security groups, and network segmentation for production, integration, development, and sandbox environments. Implement Zero Trust network controls (micro-segmentation, private endpoints, identity-aware access) aligned with NIST SP 800-207 and customer security standards. Build network configurations as code with Terraform and track changes through ServiceNow change management. Monitor network performance and flows with CSP-native tools (VPC Flow Logs, Network Watcher, Network Intelligence Center, OCI Network Path Analyzer) and forward events to Splunk. Troubleshoot connectivity, latency, and DNS issues and support incident response as part of 24/7 operations. Document network designs, runbooks, and diagrams, and provide evidence for ATO packages. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 5 years of network engineering experience, including cloud networking in at least one major cloud provider. Hands-on experience creating and managing firewall policies in cloud-native and/or next-generation firewalls. Experience provisioning dedicated cloud connections (Direct Connect, ExpressRoute, Cloud Interconnect, or FastConnect) and IPsec VPNs. Strong working knowledge of BGP, TCP/IP, subnetting, routing, load balancing, and DNS. Experience implementing Zero Trust network architecture or segmentation. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Cisco CCNP Enterprise or CCNP Security, or Palo Alto Networks PCNSE. AWS Certified Advanced Networking - Specialty, Microsoft Azure Network Engineer Associate (AZ-700), or Google Professional Cloud Network Engineer. Networking experience across more than one of AWS, Azure, GCP, and OCI. Experience with Terraform or Ansible for network automation. Experience with multi-cloud network or Zero Trust platforms (e.g., Aviatrix, Zscaler, Palo Alto Prisma Access). Experience in federal environments and with NIST SP 800-53 network controls. Prior support of a civilian federal agency.

Job Description We seek a experienced Application Security Engineer to join the DevSecOps Team of the Joint Mission Integration and Experimentation (JMIE) Division within the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State, based in San Diego, CA . The JMIE Division delivers advanced communications capabilities and secure experimentation networks supporting departmental mission partners, including cross domain data movement, tactical compute environments, and resilient edge processing strengthen secure software design, development, and deployment across our mission focused environments. You will champion application security best practices, embed security across the software development lifecycle, and work closely with engineering teams to ensure applications are resilient, compliant, and securely architected from concept to production. You will: Lead the integration of application security best practices into Agile and DevSecOps workflows, ensuring security requirements are included from initial design through deployment Conduct deep dive secure code reviews, threat modeling, and architecture analysis to identify vulnerabilities and guide remediation strategies Perform static (SAST), dynamic (DAST), and interactive application security testing, ensuring coverage across microservices, APIs, and containerized applications Develop and maintain secure coding standards, patterns, and guidance used across engineering teams Partner with developers and product owners to ensure secure design decisions, using approaches such as least privilege, secure defaults, zero trust principles, and defense in depth Manage and optimize tools supporting application security, including SAST/DAST platforms, software composition analysis (SCA), secret scanning, and container/CI pipeline security tool Evaluate open source and third party components for vulnerabilities, license risks, and supply chain integrity Guide teams in secure API development, authentication/authorization best practices, cryptographic use, and secure data handling Validate security controls and perform risk analysis for applications undergoing release, modernization, or cloud migration Assist in building a security focused engineering culture through training, documentation, and hands on developer engagement Collaborate with cybersecurity, cloud, and network teams to ensure application security aligns with enterprise risk, RMF requirements, and overall mission objectives Strong background in application security, including secure development practices, vulnerability analysis, and secure design principles Versed in SAST, DAST, SCA, and CI/CD security integration Required: Proficiency with secure coding techniques in one or more languages (e.g., Python, Java, C#, JavaScript/TypeScript, Go) Experience reviewing application architectures, microservices, and containerized workloads for security weaknesses Familiarity with NIST or similar control frameworks as they relate to application-level security requirements Strong understanding of authentication, authorization, encryption, and API security best practices Strong background in cybersecurity disciplines, including vulnerability management, scanning, compliance evaluation, and control implementation Experience interpreting security policy, generating evidence, and documenting test results for NIST / JSIG security controls Active TS/SCI clearance Preferred: Experience operating within DevSecOps pipelines and modern CI/CD ecosystems Knowledge of cloud-native application security (AWS, Azure, or DoD cloud environments) Experience with secure design reviews for APIs, distributed systems, mobile applications, or cross-domain solutions Background with eMASS, STIGs, or ACAS in support of application accreditation efforts Relevant certifications: CSSLP, GWAPT, GWEB, GCSA, GSSP, or CISSP Prior experience delivering developer security training or building secure coding programs

Job Description We seek a experienced Application Security Engineer to join the DevSecOps Team of the Joint Mission Integration and Experimentation (JMIE) Division within the Information Advantage Office at the Applied Research Laboratory (ARL) at Penn State, based in San Diego, CA . The JMIE Division delivers advanced communications capabilities and secure experimentation networks supporting departmental mission partners, including cross domain data movement, tactical compute environments, and resilient edge processing strengthen secure software design, development, and deployment across our mission focused environments. You will champion application security best practices, embed security across the software development lifecycle, and work closely with engineering teams to ensure applications are resilient, compliant, and securely architected from concept to production. You will: Lead the integration of application security best practices into Agile and DevSecOps workflows, ensuring security requirements are included from initial design through deployment Conduct deep dive secure code reviews, threat modeling, and architecture analysis to identify vulnerabilities and guide remediation strategies Perform static (SAST), dynamic (DAST), and interactive application security testing, ensuring coverage across microservices, APIs, and containerized applications Develop and maintain secure coding standards, patterns, and guidance used across engineering teams Partner with developers and product owners to ensure secure design decisions, using approaches such as least privilege, secure defaults, zero trust principles, and defense in depth Manage and optimize tools supporting application security, including SAST/DAST platforms, software composition analysis (SCA), secret scanning, and container/CI pipeline security tool Evaluate open source and third party components for vulnerabilities, license risks, and supply chain integrity Guide teams in secure API development, authentication/authorization best practices, cryptographic use, and secure data handling Validate security controls and perform risk analysis for applications undergoing release, modernization, or cloud migration Assist in building a security focused engineering culture through training, documentation, and hands on developer engagement Collaborate with cybersecurity, cloud, and network teams to ensure application security aligns with enterprise risk, RMF requirements, and overall mission objectives Strong background in application security, including secure development practices, vulnerability analysis, and secure design principles Versed in SAST, DAST, SCA, and CI/CD security integration Required: Proficiency with secure coding techniques in one or more languages (e.g., Python, Java, C#, JavaScript/TypeScript, Go) Experience reviewing application architectures, microservices, and containerized workloads for security weaknesses Familiarity with NIST or similar control frameworks as they relate to application-level security requirements Strong understanding of authentication, authorization, encryption, and API security best practices Strong background in cybersecurity disciplines, including vulnerability management, scanning, compliance evaluation, and control implementation Experience interpreting security policy, generating evidence, and documenting test results for NIST / JSIG security controls Active TS/SCI clearance Preferred: Experience operating within DevSecOps pipelines and modern CI/CD ecosystems Knowledge of cloud-native application security (AWS, Azure, or DoD cloud environments) Experience with secure design reviews for APIs, distributed systems, mobile applications, or cross-domain solutions Background with eMASS, STIGs, or ACAS in support of application accreditation efforts Relevant certifications: CSSLP, GWAPT, GWEB, GCSA, GSSP, or CISSP Prior experience delivering developer security training or building secure coding programs

Job Description We're working with a global trading technology firm scaling its research compute infrastructure across on-premises environments and public cloud platforms. This is a hands-on engineering opportunity spanning large-scale Linux systems, CPU/GPU compute, high-performance storage and cloud infrastructure. You'll help build and optimise the platforms used for complex simulations, quantitative modelling and computationally intensive research. What You'll Be Working On Building and scaling Linux-based HPC clusters across on-premises and cloud environments. Supporting CPU and GPU compute infrastructure for demanding research workloads. Engineering high-throughput storage solutions for large-scale data processing and simulation. Troubleshooting complex performance issues across Linux, networking, storage and compute. Automating infrastructure provisioning and configuration using Ansible, Terraform and similar tooling. Working with AWS, GCP or Azure to expand compute capacity and improve platform scalability. Evaluating new hardware, infrastructure technologies and approaches to HPC optimisation. Collaborating with software engineers and quantitative research teams to deliver reliable, high-performance compute environments. What We're Looking For Strong Linux systems knowledge and infrastructure troubleshooting skills. Experience with HPC, large-scale compute clusters or distributed infrastructure. Familiarity with cloud platforms such as AWS, GCP or Azure. Experience witah infrastructure automation using Ansible, Terraform or similar tools. Understanding of compute, storage and networking fundamentals. Exposure to GPU computing, high-performance storage or cluster management is advantageous. Python or Bash scripting experience is beneficial. Strong problem-solving skills and an interest in performance engineering and scalable infrastructure. What Can You Expect? Work on the compute infrastructure powering advanced quantitative and options research. Gain exposure to large-scale Linux environments, GPU computing and hybrid cloud architecture. Solve complex infrastructure challenges across compute, storage and networking. Collaborate with highly skilled infrastructure engineers, developers and quantitative researchers. Base salary: $200,000-$250,000 USD , plus discretionary performance bonus. Comprehensive healthcare, retirement benefits, generous paid leave and professional development opportunities. Interested in building infrastructure where computational performance really matters? We'd love to hear from you. Is this role not quite a fit? Feel free to check our website for more openings and let's get in touch for your next challenge!

Job Description Company Description TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs. Job Description TechSur is seeking a Senior Cloud Engineer who is fluent in both Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will be the program's go-to engineer for both platforms, splitting your time roughly evenly between them. You will build GCP and OCI foundations that match the same enterprise standards the team applies on AWS and Azure. On GCP, you will establish the organization and folder hierarchy, Shared VPC networking, and organization policies. On OCI, you will build tenancies, compartments, VCN/DRG networking, and Security Zones. On both, you will automate with Infrastructure-as-Code, integrate with the customer's identity, monitoring, and service management tools, and support the platforms in production. Key Responsibilities Design and deploy GCP landing zones: resource hierarchy (organization, folders, projects), Shared VPC hub-and-spoke networking, Cloud Interconnect or HA VPN, and Cloud DNS. Design and deploy OCI landing zones: tenancy and compartment structure, VCN and Dynamic Routing Gateway (DRG) hub-and-spoke networking, FastConnect or IPsec VPN, and DNS. Build and maintain Terraform modules (including OCI Resource Manager) and GitOps workflows for production, integration, development, and sandbox environments on both platforms. Configure IAM and federation with the customer's enterprise identity provider using SAML 2.0 and OIDC, aligned with Zero Trust principles. Enforce guardrails with GCP Organization Policy and Security Command Center, and with OCI Cloud Guard and Security Zones, against NIST SP 800-53 Rev 5 and customer security standards. Apply the enterprise tagging and labeling strategy for asset management and chargeback/showback using GCP Billing Reports and OCI Cost Analysis. Monitor environments with Google Cloud Operations Suite and OCI Monitoring, integrated with Datadog, Splunk, and ServiceNow. Perform patching, routine maintenance, capacity planning, and rightsizing; troubleshoot and resolve incidents as part of 24/7 operations support. Design and test high availability, backup, and disaster recovery on both platforms. Write runbooks and SOPs, supply ATO evidence, and transfer knowledge to customer operations staff. Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. At least 9 years of experience deploying and configuring cloud environments. Hands-on production experience with both Google Cloud Platform and Oracle Cloud Infrastructure. Production experience with Infrastructure-as-Code using Terraform on GCP and OCI. Experience with cloud network design, including private connectivity (Cloud Interconnect, FastConnect, or IPsec VPN), routing, and DNS. Experience implementing IAM and single sign-on federation (SAML 2.0/OIDC). Working knowledge of NIST SP 800-53 security controls in a federal environment. Ability to obtain and maintain the background investigation required by the federal customer. Preferred Qualifications Google Cloud Certified Professional Cloud Architect or Professional Cloud Security Engineer. Oracle Cloud Infrastructure Architect Professional or OCI Multicloud Architect Professional. Experience hosting Oracle Database workloads on OCI (Autonomous Database, Exadata Cloud Service, Base Database Service). Experience with GCP Assured Workloads, OCI US Government regions, or FedRAMP Moderate/High environments. Experience with GCP Cloud Build/Cloud Deploy or OCI DevOps pipelines. Working knowledge of AWS or Azure. Prior support of a civilian federal agency.

Job Description Lead DevOps Engineer Job Description We are seeking an experienced Lead DevOps Engineer to drive the architecture, development, and implementation of enterprise cloud infrastructure and automation solutions. This hands-on leadership role will focus on AWS cloud environments, Infrastructure as Code, CI/CD pipelines, and cloud-native technologies while partnering with product, engineering, and client stakeholders to deliver scalable, secure, and reliable solutions. Key Responsibilities Lead the design and implementation of DevOps strategies, cloud architecture, and infrastructure automation. Build and optimize CI/CD pipelines and automated workflows using Terraform, Jenkins, GitHub Actions, and related tools. Architect and deploy cloud-native applications and infrastructure within AWS environments. Establish best practices for cloud security, infrastructure management, application deployment, and operational reliability. Collaborate with engineering and product teams to solve complex technical challenges and drive delivery. Provide technical leadership and mentorship while evaluating and introducing new cloud technologies. Communicate architectural decisions and technical solutions to both technical teams and client stakeholders. Required Qualifications 12+ years of experience in DevOps, cloud infrastructure, and automation, including 5+ years in a senior or technical leadership role. Strong hands-on expertise with AWS cloud services and cloud-native architecture. Advanced experience with Terraform and Infrastructure as Code. Expertise in CI/CD tools such as GitHub Actions and Jenkins. Experience with Docker and Kubernetes, along with cloud deployment and orchestration practices. Strong understanding of cloud security, software architecture, and Agile development methodologies. Proficiency in at least one programming language, preferably Python. Excellent communication, problem-solving, and technical leadership skills. Preferred Qualifications Experience with AWS Lambda, serverless architecture, CloudFormation, CDK, and Helm. Knowledge of AWS IAM, HashiCorp Vault, CyberArk, and cloud security practices. Familiarity with AWS database services, including Aurora and DynamoDB. Exposure to AI infrastructure and services such as AWS Bedrock, AgentCore, LLM gateways, and LangChain. Experience with AI coding assistants such as Claude Code, Codex, or Cursor and AI-driven software development practices.

Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details

Job Description Senior Software Engineer Only W2 Location -Westlake Texas Or Covington Kentucky 5-7 years of exp in Python, API Skills, experience using Jenkins for CI/CD, containerization skills in Kubernetes, and AWS services exp. The Role Design, develop, test, deploy, and maintain production-quality Python applications, APIs, libraries, packages, and reusable components. Apply object-oriented programming, modular architecture, design patterns, and clean-code principles to create maintainable, extensible, and scalable software. Demonstrate advanced Python proficiency, including classes, modules, functions, data structures, type hints, packaging, dependency management, exception handling, and asynchronous or parallel-processing concepts. Develop reusable frameworks, utilities, templates, and self-service capabilities that reduce duplication and improve developer productivity. Design, configure, deploy, and support containerized applications on Kubernetes in AWS, Azure, or comparable public-cloud environments. Use Infrastructure as Code tools such as Terraform, AWS CloudFormation, or Azure Resource Manager templates to automate cloud and platform infrastructure. Build and maintain CI/CD workflows using technologies such as GitHub, Jenkins, and Artifactory for source control, testing, packaging, artifact management, deployment, and release automation. Nice to have: Familiarity with ETL/ELT pipelines, Apache Airflow, Apache Spark, and distributed data-processing concepts is beneficial. AWS or Azure cloud certification is a plus.

Job Description Job Description: The DevOps Engineer is responsible for managing and maintaining the global enterprise platforms, maintaining the templates for the monitoring systems, integration to BigPanda, the quality of the alerting into the BigPanda eventing platform, CMDB integration, monitoring Best Practices for AWS cloud. 10 plus years working in Information Technology 4 plus years running production systems on AWS Datadog Experience with site monitoring and log monitoring tools, specifically Datadog.Certified AWS SysOps Administrator a plus. Experience with TypeScript & JavaScript Experience with DynamoDB, S3 and Cognito Good understanding of Serverless and CloudFormation Understanding of best practices for AWS, EC2, Couchbase and monitoring of containers Manages capacity planning, updates, upgrades and internal integration. Responsible for administration of monitoring tools in the APM space Coordinates with DevOps, Problem Management, etc escalations to support monitoring Manages uptime and availability and reporting Mentor, educate, and train support personnel on how to use tools Maintains knowledge on current technology by reading technology periodicals, evaluating new technologies and attending trade-shows, technical seminars and training sessions. Performs other duties as assigned and required. Duties and responsibilities may change from time to time without notice and include but are not limited to the duties described above Required Qualifications - Knowledge/Skills: Manage monitoring of overall application availability, latency and system health Determine alert standards for production environments and implement them Develop strategies for logging and indexing to improve visibility to development teams Develop and manage configuration scripts for Amazon hosted infrastructure Work with the development team and management to ensure high availability Familiarity with configuration management software such as Ansible Build reporting dashboards to assist visibility of cost and stability Provide support to teams for alarms and outages on an as-needed basis Experience with Windows Server, IIS, Docker/Kubernetes Strong understanding of systems, networks and troubleshooting techniques. Experience in automated build pipeline, and continuous integration. Source control, branching, and merging: git/svn/etc (Repository Management) Communication Skills- The ability to communicate verbally and in writing with all levels of employees and management, speaks and writes clearly and understandably at the right level. Integrity and Trust- Involves being widely trusted, being seen as a direct, truthful individual, can present the unvarnished truth in an appropriate and helpful manner, keeps confidences, admits mistakes, and doesn?t misrepresent him/herself for personal gain. Teamwork- Works well in a collaborative setting, volunteering for and completing assignments, acting as a positive team member by contributing to discussions, developing and maintaining relations. Technical Expertise- A commitment to increasing knowledge and skills in current technical/functional area, keeping up to date on technical developments, staying informed as to industry practices, knowing how to apply relevant technical processes to appropriate business needs. Top Skill Set / Job Characteristics: Senior-level AWS production support and engineering experience: 7 plus years of hands-on DevOps, SRE, platform engineering, or cloud infrastructure experience, including at least 5 plus years supporting, troubleshooting, and improving production workloads on AWS. Must be able to independently diagnose complex issues, lead root-cause analysis, and drive reliable solutions across services such as ECS, EKS, S3, Lambda, DocumentDB, DynamoDB, IAM, networking, logging, and monitoring. Preferred certification: AWS Certified DevOps Engineer - Professional or AWS Certified Solutions Architect - Professional. Associate-level certification may be considered with strong hands-on senior experience. Advanced Terraform and infrastructure-as-code experience: 5 plus years designing, developing, debugging, and maintaining Terraform-based infrastructure for AWS at enterprise scale. Candidate should be comfortable building reusable modules, managing remote state, reviewing plans, troubleshooting drift, and applying change automation safely across non-production and production environments. Must have direct experience provisioning and managing AWS infrastructure using Terraform, not only consuming prebuilt modules. Expected to contribute to module design, code reviews, standards, documentation, and reusable patterns for services such as EKS, ECS, EC2, S3, IAM, networking, and supporting AWS services. Strong understanding of Terraform execution plans, state management, resource dependencies, module versioning, policy controls, and promotion of infrastructure changes through controlled environments. Experience with automated validation, testing, and CI/CD integration for infrastructure changes is strongly preferred. Container platform and Kubernetes/EKS depth: 5 plus years of experience with containerized workloads and 3 plus years of hands-on Kubernetes or Amazon EKS experience in production environments. Candidate should understand cluster operations, workload deployment, Helm, kubectl, autoscaling, networking, IAM/RBAC integration, troubleshooting, and platform reliability patterns. Manage and maintain Helm charts and Kubernetes manifests for repeatable application and platform deployments. Lead or significantly contribute to production deployments, upgrades, incident resolution, and operational support for Kubernetes/EKS-based platforms. Demonstrated experience deploying and troubleshooting distributed applications using Docker, ECS, Kubernetes, or EKS, including service discovery, ingress/load balancing, network policies, and logging/monitoring integration. Experience with GitOps or CI/CD-driven deployment patterns, including GitHub Actions, GitLab CI, Jenkins, Harness, Argo CD, Flux, or similar tooling. Preferred certification: Certified Kubernetes Administrator, Certified Kubernetes Application Developer, or equivalent hands-on container platform experience.