Requirements engineer jobs in Bossier City, LA

JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Mobile Engineering - JLL What this job involves: This position focuses on the hands-on performance of ongoing preventive maintenance and repair work orders across multiple facility locations. You will maintain, operate, and repair building systems including HVAC, electrical, plumbing, and other critical infrastructure components. This mobile role requires you to travel between assigned buildings, conduct facility inspections, respond to emergencies, and ensure all systems operate efficiently to support client occupancy and satisfaction across JLL's building portfolio. What your day-to-day will look like: • Perform ongoing preventive maintenance and repair work orders on facility mechanical, electrical and other installed systems, equipment, and components. • Maintain, operate, and repair all HVAC systems and associated equipment, electrical distribution equipment, plumbing systems, building interior/exterior repair, and related grounds. • Conduct assigned facility inspections and due diligence efforts, reporting conditions that impact client occupancy and operations. • Respond effectively to all emergencies and after-hours building activities as required. • Prepare and submit summary reports to management listing conditions found during assigned work and recommend corrective actions. • Study and maintain familiarity with building automation systems, fire/life safety systems, and other building-related equipment. • Maintain compliance with all safety procedures, recognize hazards, and propose elimination methods while adhering to State, County, or City Ordinances, Codes, and Laws. Required Qualifications: • Valid state driver's license and Universal CFC Certification. • Minimum four years of technical experience in all aspects of building engineering with strong background in packaged and split HVAC units, plumbing, and electrical systems. • Physical ability to lift up to 80 lbs and climb ladders up to 30 ft. • Ability to read schematics and technical drawings. • Availability for on-call duties and overtime as required. • Must pass background, drug/alcohol, and MVR screening process. Preferred Qualifications: • Experience with building automation systems and fire/life safety systems. • Knowledge of CMMS systems such as Corrigo for work order management. • Strong troubleshooting and problem-solving abilities across multiple building systems. • Experience working in commercial building environments. • Commitment to ongoing safety training and professional development. Location: Mobile position covering Austin, TX and surrounding area. Work Shift: Standard business hours with on-call availability #HVACjobs This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without employer sponsorship. Location: On-site -Austin, TX If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at ******************. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.

Onsite in Austin, TX from Day 1 Hybrid Schedule: 3 Onsite Days (Tue, Wed, Thur) & 2 Remote Days (Mon, Fri) Long term contract Direct client opportunity No Mid layer / No Implementation partners are Involved Additional Comments We are looking for a People that can work on Honeycomb Platform that spans across multiple tenants like Client Support Communities, Developer Forums, and Education Forums. Software Engineer Requirements Must-Have: 10+ more years with Java, and 5+more years with Mongo, and hands on experience with Al tools like [RooCode and Claude] Hands on experience with the following: 1. Design and development of highly available, distributed and scalable enterprise systems. 2. Spring Boot, Redis, MongoDB, Kafka, and MicroServices architecture. 3. AWS deployments, scaling and EKS cluster management 4. GIT, PR process, CI/CD Pipelines and deployments. Experience and strong knowledge in developing high throughput, high performance, and zero downtime systems. Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks and heap analysis. Strong knowledge of customer facing web application development, HTTP specs, Load- balancing and understanding of CDN. Experience with Java test frameworks such as JUnit and test NG and Familiarity with automated testing methodologies and frameworks. Familiarity with template driven rendering and client and server side MVC architectures Familiarity with Splunk for investigating or monitoring problems on systems. Thorough understanding of Software Development Lifecycle, tools and agile methodologies. Sharp troubleshooting skills and real world systems deployment experience. Non-Technical Requirements: We seek a self starter, forward-thinking people with strong leadership capabilities. Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. Skills: Splunk - At Least 1 Years Spring - 10+ Years Spring boot - 5-10 Years Spring Web Services - 5-10 Years AWS - 5-10 Years Pay Range: $65/hr - $70/hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

TOP MUST HAVES: Experience with overseeing Azure and AWS infrastructures Windows servers experience must be US Citizen Job Title: Cloud Engineer Job Summary: We are seeking a skilled and motivated Cloud Engineer to join our IT team. The ideal candidate will have hands-on experience managing both Azure and AWS cloud environments, with a focus on configuring, deploying, and maintaining cloud infrastructure to support business operations efficiently and securely. The Cloud Engineer will play a critical role in optimizing cloud resources and minimizing costs while ensuring that our cloud-based services are scalable, reliable, and secure. Key Responsibilities: Cloud Infrastructure Management: Design, implement, and manage cloud infrastructure across Azure and AWS platforms. Provision, monitor, and maintain resources, including virtual machines, databases, storage, networking, and other cloud services. Ensure cloud architecture is scalable, secure, and supports high availability and disaster recovery. Cost Optimization: Monitor and optimize cloud costs by identifying unused or underutilized resources and making recommendations for cost-saving opportunities. Implement cost management tools and best practices to control cloud expenditures across AWS and Azure environments. Automation and Orchestration: Develop and maintain infrastructure as code (IaC) using tools like Azure Resource Manager (ARM) templates. Automate routine cloud infrastructure tasks to improve efficiency and reduce manual intervention. Security and Compliance: Implement security best practices and governance to protect cloud assets, including identity and access management (IAM), network security, encryption, and data protection. Ensure cloud environments are compliant with relevant regulations and organizational security policies. Performance Monitoring and Troubleshooting: Monitor system performance and usage to ensure optimal functionality and uptime. Troubleshoot cloud infrastructure issues and work with internal teams to resolve problems promptly. Collaboration and Documentation: Collaborate with development, operations, and security teams to ensure seamless integration of cloud resources. Maintain up-to-date documentation for cloud infrastructure, configurations, and processes. Qualifications: Education: Bachelors degree in Computer Science, Information Technology, or a related field. Equivalent work experience may be considered. Experience: 3-5 years of experience managing cloud infrastructure on Azure and AWS platforms. Strong understanding of cloud cost optimization techniques and tools. Skills: Proficiency in cloud security, networking, and performance optimization. Hands-on experience with cloud monitoring and management tools (e.g., Azure Monitor, AWS CloudWatch). Familiarity with scripting and automation using PowerShell, Python, or similar languages. Strong problem-solving skills and ability to troubleshoot complex issues. Certifications: Relevant certifications such as AWS Certified Solutions Architect, Azure Administrator, or Cloud Practitioner preferred. Soft Skills: Strong communication and collaboration skills. Ability to work independently and as part of a team in a fast-paced environment. Attention to detail and a proactive approach to problem-solving. “Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.” “Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ******************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act • Los Angeles City Fair Chance Ordinance • Los Angeles County Fair Chance Ordinance for Employers • San Francisco Fair Chance Ordinance”

We are looking for a talented UI engineer to explore new initiatives with the AiDP Frameworks team. On the team you will investigate new component library frameworks, and enable new ways of building UI with AI agents. The Frameworks team builds and maintains the Bricks component library. Bricks is a multi-framework component library built with Web Components and the Stencil framework. We are looking to understand potential alternatives to Stencil for managing a highly used component library that works across the most popular UI frameworks Responsibilities: Investigate cross-platform component library technologies and build proof-of-concept applications to evaluate their features and limitations. Implement and enhance a component library-based MCP (Model Context Protocol) server. Architect and develop multi-step AI agents that integrate with UI component libraries and frameworks. Ensure AI agents are reliable, scalable, and cost-optimized for high-volume environments. Produce comprehensive technical analyses comparing frameworks and provide actionable recommendations. Work independently to deliver high-quality, well-tested code. Qualifications: Web Components: At least 1 year AI Agents MCP (Model Context Protocol) Responsive Design: 2-5 years TypeScript: 2-5 years HTML/CSS/JavaScript: 2-5 years Component Libraries: At least 1 year Nice to Have: ReactJS: At least 1 year Vue.js: At least 1 year AngularJS: At least 1 year Sass/Scss: At least 1 year Accessibility: At least 1 year Stencil.js: At least 1 year

Employment Type: Full-Time, Direct Hire (W2 Only - No sponsorship available) About the Role We're seeking a skilled and driven ServiceNow CMDB Engineer to join our team in Irving, TX. This is a hands-on, onsite role focused on designing, implementing, and maintaining a robust Configuration Management Database (CMDB) aligned with ServiceNow's Common Service Data Model (CSDM). You'll play a critical role in enhancing IT operations, asset management, and service delivery across the enterprise. Responsibilities Architect, configure, and maintain the ServiceNow CMDB to support ITOM and ITAM initiatives Implement and optimize CSDM frameworks to ensure data integrity and alignment with business services Collaborate with cross-functional teams to define CI classes, relationships, and lifecycle processes Develop and enforce CMDB governance, data quality standards, and reconciliation rules Integrate CMDB with discovery tools and external data sources Support audits, compliance, and reporting requirements related to ITIL processes Troubleshoot and resolve CMDB-related issues and performance bottlenecks Qualifications 3+ years of hands-on experience with ServiceNow CMDB and CSDM implementation Strong understanding of ITIL practices and ITOM/ITAM modules Proven ability to manage CI lifecycle and maintain data accuracy Experience with ServiceNow Discovery, Service Mapping, and integrations ServiceNow Certified System Administrator (CSA) or higher certifications preferred Excellent communication and documentation skills Must be authorized to work in the U.S. without sponsorship Perks & Benefits Competitive compensation package Collaborative and innovative work environment Opportunity to work with cutting-edge ServiceNow technologies

We're hiring an experienced API & Cloud Observability Engineer for a hybrid role in Austin, TX or Sunnyvale, CA. This is a 6-month contract with strong potential for extension supporting a major enterprise initiative (client details confidential). Location Austin, TX or Sunnyvale, CA Hybrid - on-site presence required Work Authorization (Strict Requirement) USC and GC Only L2-EAD TN Visa (No other visa types accepted.) Job Summary Join a high-impact engineering team focused on building, integrating, and maintaining enterprise observability platforms. This role is ideal for engineers with strong experience in APIs, cloud platforms, and modern observability tooling-driving visibility, reliability, and performance across distributed systems. Must-Have Skills (Non-Negotiable) 5+ years of professional engineering experience Hands-on expertise in API development and integration Strong experience deploying observability solutions across AWS, Azure, and GCP Background in building and maintaining observability platforms 📩 Interested? Apply now or DM us to explore this opportunity! You can share profiles at ********************* OR Call us on *****************

Python Backend Developer (6-Month Contract) - Austin, TX We're seeking an experienced Python Developer to join a fast-paced gaming technology team on a 6-month contract in Austin, TX. The successful candidate will work on backend systems that power large-scale, high-performance gaming platforms. Contract Details: Duration: 6 months (potential for extension) Location: Austin, TX (hybrid 2 days a week) Rate: 50-60/hr w2 Industry: Casino gaming and entertainment technology Key Responsibilities: Design, develop, and maintain scalable backend services using Python. Collaborate with cross-functional teams including frontend, DevOps, and game engineers. Optimize APIs and data pipelines for performance and reliability. Contribute to code reviews, architecture discussions, and technical documentation. Required Skills: 4+ years of professional experience in backend development with Python (e.g., FastAPI, Flask, or Django). Strong understanding of RESTful APIs and microservice architecture. Familiarity with cloud infrastructure (AWS, GCP, or Azure). Excellent debugging and problem-solving skills. Please apply with an up to date resume

Job Title: Cloud Engineer The Cloud Engineer is responsible for designing, deploying, managing, and optimizing cloud-based infrastructure and services. This role ensures secure, scalable, and efficient cloud environments across platforms such as AWS, Azure, or Google Cloud. The position supports both project initiatives and day-to-day operations, with a focus on automation, reliability, and cost optimization. Key Responsibilities Design, implement, and maintain cloud infrastructure including compute, storage, networking, and security resources Build and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, ARM/Bicep, or Pulumi Develop automation scripts and workflows to improve deployment speed, consistency, and reliability Monitor cloud environments for performance, cost efficiency, availability, and security compliance Implement and manage identity, access, and security controls within cloud platforms Support containerization and orchestration solutions (Docker, Kubernetes, ECS, AKS, GKE) Collaborate with development, DevOps, security, and IT teams to design cloud-native and hybrid solutions Troubleshoot cloud-related issues spanning compute, networking, storage, automation, and CI/CD pipelines Assist with cloud migrations, optimization efforts, and architecture improvements Maintain documentation for cloud deployments, standards, and operational procedures Required Qualifications and Experience 2-5+ years of hands-on experience with AWS, Azure, or Google Cloud Strong understanding of cloud networking (VPCs, VNets, routing, firewalls, load balancers) Experience with automation and Infrastructure as Code tools (Terraform, CloudFormation, ARM, etc.) Familiarity with scripting languages such as Python, PowerShell, or Bash Experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, etc.) Knowledge of cloud security best practices, IAM principles, and compliance standards Strong troubleshooting and analytical skills Preferred Qualifications Cloud certifications such as AWS Solutions Architect, AWS SysOps, Azure Administrator, Azure Solutions Architect, or Google Cloud Engineer Experience with serverless technologies (Lambda, Azure Functions, Cloud Run) Familiarity with monitoring and logging tools (CloudWatch, Azure Monitor, Stackdriver, Datadog) Experience with hybrid cloud environments and on-prem integration Knowledge of DevOps practices and container orchestration Education Bachelor's degree in Computer Science, Information Technology, Engineering, or related field preferred Equivalent hands-on experience will be considered

Platform Engineer Houston, TX / Kansas City, MO 6/12 Months The Platform Engineer will design, develop, and deploy complex infrastructure operating platforms and solutions while providing technical expertise to clients and internal teams. This role involves creating and implementing platforms that manage and support various software applications and processes. The engineer will collaborate with cross-functional teams to deliver enterprise and software solutions aligned with organizational standards for client satisfaction, commitment, integrity, safety, and outstanding service. Key Responsibilities Design, develop, and deploy complex infrastructure and network solutions. Develop and implement automation scripts to optimize infrastructure management. Collaborate with cross-functional teams to deliver enterprise software solutions. Monitor security and compliance of infrastructure systems and networks. Troubleshoot and resolve complex technical issues, including system outages. Develop and deploy new software and test applications. Respond to security incidents and provide remediation guidance. Implement security systems and policies to protect organizational information. Monitor systems for unauthorized access, theft, and damage. Analyze security alerts and threats; respond to prevent breaches and incidents. Perform other duties as assigned while complying with all company policies and standards. Qualifications Education: Bachelor's degree in technology, business, or related field OR High school diploma + minimum 7 years of relevant experience. Experience: Minimum 3 years in infrastructure and network systems design, deployment, and management, system engineering, or related roles. Skills & Competencies Strong computer skills (Microsoft Office Suite). Excellent written and verbal communication skills. Ability to work collaboratively and resolve issues in a team environment. Critical thinking and analytical problem-solving skills. Strong attention to detail, facilitation, and collaboration. Technical Expertise Experience with Python and React development. Knowledge of security systems, policies, vulnerability management, and remediation. Familiarity with cloud technologies, automation scripts, and infrastructure management. Certification & Cybersecurity Security+ certification preferred (not required). Must have foundational cybersecurity experience to successfully complete ICS-specific training after onboarding.

We're seeking a self-motivated individual to fill their AI Engineer position. We are seeking an experienced engineer with a background in developing enterprise level solutions and utilizing AI tools in an enterprise environment. This individual will be part of and work directly with the Information Technology team to ensure optimal system performance, data integrity, and operational efficiency. Key Responsibilities: AI Development & DeploymentBuild and roll out AI/ML solutions that connect with ERP, MES, SCE, CPQ, and other enterprise systems. Identify inefficiencies and apply AI where it makes the most impact on ROI, whether through automation, optimization, or predictive insights. Develop and maintain in-house AI tools including NLP, forecasting, and analytics models. Recommend solutions to leadership with clear pros and cons. Work independently and deliver from prototype through production. Data and Integration Own the pipelines that prepare data for AI, including ETL, feature engineering, and training workflows. Ensure data quality so models are built and deployed on reliable information. Build and support APIs and integrations that allow models to work directly with enterprise applications. Document datasets, integrations, and model performance in a clear and usable way. Process OptimizationMap out current processes, find bottlenecks, and show where AI can improve outcomes. Work with Operations, Manufacturing, Finance, and other teams to translate requirements into real AI solutions. Support business process changes by embedding AI into workflows. Training and DocumentationWrite documentation for models, APIs, and integrations that anyone can follow. Train users on AI tools to help adoption and long-term success. Contribute to standards for AI governance, versioning, and responsible use. Reporting and Analytics Build and automate dashboards and reports that use AI to provide real insights. Support business users with predictive modeling, advanced analytics, and reporting needs. QualificationsBachelor's degree in Computer Science, Data Science, AI, or a related field. 3+ years of experience in AI/ML development and deployment. Solid SQL and relational database experience. Knowledge of the full model lifecycle including training, deployment, monitoring, and retraining. Background with enterprise systems like ERP, MES, SCE, or CPQ. Experience with APIs, microservices, and cloud AI platforms such as Azure or AWS. Strong problem-solving skills with the ability to deliver scalable AI solutions. Preferred SkillsExperience with Infor ERP or similar enterprise systems. Familiarity with large language models (LLMs) and how to apply them in business. Understanding of manufacturing and supply chain operations. Experience with MLOps including automation and CI/CD for AI models. Personal AttributesLearns quickly and adapts to new AI/ML methods. Explains technical ideas in plain language. Self-motivated and able to deliver from idea through to completion. Strong attention to detail with practical problem-solving ability. Work ConditionsAfter-hours availability dependent on need. Sitting for extended periods of time. Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components. Other duties as assigned.

Note : Please share USC/GC profiles only Job Role : Databricks Engineer Long Term Contract A Databricks Engineer is responsible for designing, developing, and optimizing large-scale data pipelines and analytics solutions using the Databricks Lakehouse Platform. This role involves working with big data technologies, ensuring data quality, enabling advanced analytics and machine learning workflows, and supporting cross-functional data teams. Key Responsibilities • Develop workflows and jobs in Databricks notebooks, Jobs, Workflows, and Delta Live Tables. • Strong and proficient in Databricks, DLT (Delta Live Tables) framework and Pyspark • Implement real-time and batch data processing solutions. • Integrate data from diverse sources (APIs, streaming platforms, databases, cloud storage). • Manage and optimize Databricks clusters, pools, jobs, and workspace configurations. • Apply best practices for cluster sizing, performance tuning, autoscaling, and cost optimization. • Configure role-based access controls, audit logs, and Unity Catalog permissions. • Ensure adherence to data privacy, compliance, and governance requirements. • Implement secure data ingestion, encryption, and key management.

About the Role Apexon is seeking an experienced AI/ML Engineer with strong expertise in LLM development, MLOps, and building scalable GenAI solutions. You will design, build, and operationalize AI/ML systems that support enterprise clients across healthcare, BFSI, retail, and digital transformation engagements. The ideal candidate has hands-on experience building end-to-end machine learning pipelines, optimizing large language model workflows, and deploying secure ML systems in production environments. Responsibilities LLM & AI Solution Development Build, fine-tune, evaluate, and optimize Large Language Models (LLMs) for client-specific use cases such as document intelligence, chatbot automation, code generation, and workflow orchestration. Develop RAG (Retrieval-Augmented Generation) pipelines using enterprise knowledge bases. Implement prompt engineering, guardrails, hallucination reduction strategies, and safety frameworks. Work with transformer-based architectures (GPT, LLaMA, Mistral, Falcon, etc.) and develop optimized model variants for low-latency and cost-efficient inference. Machine Learning Engineering Develop scalable ML systems including feature pipelines, training jobs, and batch/real-time inference services. Build and automate training, validation, and monitoring workflows for predictive and GenAI models. Perform offline evaluation, A/B testing, performance benchmarking, and business KPI tracking. MLOps & Platform Engineering Build and maintain end-to-end MLOps pipelines using: AWS SageMaker, Databricks, MLflow, Kubernetes, Docker, Terraform, Airflow Manage CICD pipelines for model deployment, versioning, reproducibility, and governance. Implement enterprise-grade model monitoring (data drift, performance, cost, safety). Maintain infrastructure for vector stores, embeddings pipelines, feature stores, and inference endpoints. Data Engineering & Infrastructure Build data pipelines for structured and unstructured data using: Snowflake, S3, Kafka, Delta Lake, Spark (PySpark) Work on data ingestion, transformation, quality checks, cataloging, and secure storage. Ensure all systems adhere to Apexon and client-specific security, IAM, and compliance standards. Cross-Functional Collaboration Partner with product managers, data engineers, cloud architects, and QA teams. Translate business requirements into scalable AI/ML solutions. Ensure model explainability, governance documentation, and compliance adherence. Basic Qualifications Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, Data Science, or related field. 4+ years of experience in AI/ML engineering, including 1+ years working with LLMs/GenAI. Strong experience with Python, Transformers, PyTorch/TensorFlow, and NLP frameworks. Hands-on expertise with MLOps platforms: SageMaker, MLflow, Databricks, Kubernetes, Docker. Strong SQL and data engineering experience (Snowflake, S3, Spark, Kafka). Preferred Qualifications Experience implementing Generative AI solutions for enterprise clients. Expertise in distributed training, quantization, optimization, and GPU acceleration. Experience with: Vector Databases (Pinecone, Weaviate, FAISS) RAG frameworks (LangChain, LlamaIndex) Monitoring tools (Prometheus, Grafana, CloudWatch) Understanding of model governance, fairness evaluation, and client compliance frameworks.

Interview process: Onsite (Plano, TX) We are looking for a highly skilled Senior AWS Data/Backend Engineer with strong expertise in C#, AWS Lambda, AWS Glue, and distributed caching technologies. The ideal candidate will excel at building and optimizing high-performance cloud-native APIs and backend services in a fully AWS-based environment. This role focuses heavily on API scalability, performance tuning, and data pipeline optimization. 🔧 Key Responsibilities Design, develop, and optimize AWS Lambda functions in C# for low-latency, high-throughput workloads. Implement and manage distributed caching using Redis/ElastiCache or OpenSearch. Enhance and support AWS Glue ETL pipelines, data structures, and workflows. Architect scalable backend services using API Gateway, Lambda, S3, and Glue Catalog. Optimize data querying patterns across Aurora, DynamoDB, Redshift, or similar databases. Perform end-to-end performance profiling and bottleneck analysis across APIs and data pipelines. Improve observability with CloudWatch, X-Ray, and structured logging. Ensure all cloud solutions meet best practices for security, scalability, reliability, and cost efficiency. Collaborate with cross-functional teams to deliver high-performance APIs and backend systems. ✅ Required Skills & Experience 5+ years in backend engineering, cloud engineering, or data engineering. Strong expertise in C#/.NET with hands-on AWS Lambda experience. Experience implementing Redis/ElastiCache or OpenSearch caching layers. Hands-on with AWS Glue, Glue Catalog, ETL optimization, and data lakes. Strong knowledge of core AWS services: Lambda, API Gateway, S3, IAM, CloudWatch. Experience with cloud databases: Aurora, DynamoDB, Redshift. Strong understanding of data modeling, partitioning, and schema optimization. Excellent debugging, performance tuning, and problem-solving abilities. ✨ Preferred Qualifications Experience with event-driven architectures (Kinesis, Kafka, SNS, SQS). Familiarity with CI/CD pipelines and automated deployments. Knowledge of AWS cost optimization practices. Understanding of DevOps/SRE monitoring and high-availability concepts.

You will be responsible for delivery and buildout of a Privileged Access ecosystem and apply comprehensive knowledge of privileged access security controls to the completion of complex assignments. You will identify and recommend changes in procedures, processes, and scope of delivery. This position reports to the Director of Privileged Access Engineering. What you will do: Troubleshoot complex heterogeneous environments related to privileged access technologies through server log and network traffic analysis, leaning on experience with troubleshooting and analysis techniques and tools. Understand taxonomy of privileges on named or shared privileged accounts. Incorporate cybersecurity best practices for technology governance over privileged account lifecycles. Development of PAM (CyberArk) connection components and plugins as needed utilizing various scripting tools (PowerShell, python) and rest API's. Develop regular reporting and be accountable for deliverables. Perform disaster resiliency tests, discovery audits, and can present findings to management in order to ensure security and integrity of the systems. What you will need to have: 8+ years' experience in IT. 5+ years' experience in Cyber Security. 3+ years' experience in implementation, integration, and operations of privileged access technologies (CyberArk and all its components). 3+ years' experience in systems and network administration (Windows, Unix/Linux, Network devices) and good knowledge of PKI, Authentication tools and protocols (like SAML, Radius, PING), MFA. 2+ years' experience with privileged access controls in Unix and Windows environments. 2+ years' experience with broader IAM ecosystem of directories, identity management, and access management controls. 1+ years' experience in a senior technical role (have a deep understanding of the product) with IAM/PAM products such as CyberArk and its components. Bachelor's degree in computer science, or a relevant field, or an equivalent combination of education, work, and/or military experience. What would be great to have: 2+ years' experience in onboarding and managing privileged credentials across Windows, Linux/Unix, databases, networking devices and other platforms. 2+ years' experience in development/scripting (shell, PowerShell, python and utilizing rest API methods and other current tools including AI to assist in automation activities like provisioning of vault components, accounts and implementing access controls. 1+ years' experience in coming up with technical solutions and being able to present to management related to PAM. 1+ years' experience in ability to interface with Corporate Audit and External Audit functions for regulatory compliance. Cybersecurity certifications such as CISA, CISSP and CyberArk certifications - CDE, Sentry, Defender.

Job Title - AI/ML Engineer Job Type- Full Time Key Responsibilities Model Development: Design, build, and optimize machine learning models for predictive analytics, classification, recommendation systems, and NLP. Data Processing: Collect, clean, and preprocess large datasets from various sources for training and evaluation. Deployment: Implement and deploy ML models into production environments using frameworks like TensorFlow, PyTorch, or Scikit-learn. Performance Monitoring: Continuously monitor and improve model accuracy, efficiency, and scalability. Collaboration: Work closely with data engineers, software developers, and product teams to integrate AI solutions into applications. Research & Innovation: Stay updated with the latest advancements in AI/ML and apply cutting-edge techniques to business challenges. Documentation: Maintain clear documentation of models, processes, and workflows. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or related field. Strong proficiency in Python, R, or Java. Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of data structures, algorithms, and software engineering principles. Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools. Familiarity with big data technologies (Spark, Hadoop) is a plus. Excellent problem-solving and analytical skills. Preferred Qualifications Experience in Natural Language Processing (NLP), Computer Vision, or Deep Learning. Understanding of model interpretability and ethical AI practices. Prior experience deploying models in production environments.

Hands on experience of Kubernetes engineering and development. Minimum 5-7+ years of experience in working with hybrid Infra architectures Experience in analyzing the architecture of On Prem Infrastructure for Applications (Network, Storage, Processing, Backup/DR etc). Strong understanding of Infrastructure capacity planning, monitoring, upgrades, IaaC automations using Terraform, Ansible, CICD using Jenkins/Github Actions. Experience working with engineering teams to define best practices and processes as appropriate to support the entire infrastructure lifecycle - Plan, Build, Deploy, and Operate such as automate lifecycle activities - self-service, orchestration and provisioning, configuration management. Experience working with engineering teams to define best practices and processes as appropriate to support the entire infrastructure lifecycle - Plan, Build, Deploy, and Operate such as automate lifecycle activities - self-service, orchestration and provisioning, configuration management. Experience defining infrastructure direction. Drive continuous improvement including design, and standardization of process and methodologies. Experience assessing feasibility, complexity and scope of new capabilities and solutions Base Salary Range: $100,000 - $110,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Software Engineer - Batch Compute (Kubernetes / HPC) Dallas (Hybrid) | 💼 Full-time A leading, well-funded quantitative research and technology firm is looking for a Software Engineer to join a team building and running a large-scale, high-performance batch compute platform. You'll be working on modern Kubernetes-based infrastructure that powers complex research and ML workloads at serious scale, including contributions to a well-known open-source scheduling project used for multi-cluster batch computing. What you'll be doing • Building and developing backend services, primarily in Go (Python, C++, C# backgrounds are fine) • Working on large-scale batch scheduling and distributed systems on Kubernetes • Operating and improving HPC-style workloads, CI/CD pipelines, and Linux-based platforms • Optimising data flows across systems using tools like PostgreSQL • Debugging and improving performance across infrastructure, networking, and software layers What they're looking for • Strong software engineering background with an interest in Kubernetes and batch workloads • Experience with Kubernetes internals (controllers, operators, schedulers) • Exposure to HPC, job schedulers, or DAG-based workflows • Familiarity with cloud platforms (ideally AWS), observability tooling, and event-driven systems Why it's worth a look • Market-leading compensation plus bonus • Hybrid setup from a brand-new Dallas office • Strong work/life balance and excellent benefits • Generous relocation support if needed • The chance to work at genuine scale on technically hard problems If you're interested (or know someone who might be), drop me a message and I'm happy to share more details anonymously.

FEDITC, LLC is a fast-growing business supporting DoD and other intelligence agencies worldwide. FEDITC develops mission critical national security systems throughout the world directly supporting the Warfighter, DoD Leadership, & the country. We are proud & honored to provide these services. Overview of position: We are looking for an Engineer to work in the Texarkana area. The Engineer will play a key role in supporting depot maintenance and production operations in Texarkana, focusing on the design, development, and improvement of complex equipment and tooling used in the overhaul, repair, modification, and upgrade of both wheeled and tracked military vehicles. This position requires a highly skilled engineer capable of performing original design studies, developing innovative solutions for specialized vehicle systems-including hulls, suspensions, engines, transmissions, and electronic components-and integrating advanced automation technologies such as robotics and machine vision into depot operations. The Engineer will also oversee the fabrication, assembly, and implementation of production and test equipment, ensure proper function and efficiency, and provide training and technical support to operational personnel. An active NACI and a United States Citizenship is required to be considered for this position. Responsibilities Perform original design studies related to the concept and design of equipment, fixtures, and tooling to support primary vehicle systems and their components, including: Hulls, chassis, suspensions, turrets, armament, engines, transmissions, final drives, fire control instruments, electronic components, hydraulic components, and auxiliary equipment. Provide complex independent support for the depot mission in the conceptual design, improvement, and installation of mission production equipment, associated facilities, methods, and procedures to predict, evaluate, and specify results. Monitor technological developments of equipment used in both private industry and government operations. Review mission overhaul, repair, modification, and upgrade programs to ensure present systems and methods perform required functions in the most economical manner. Design complete and complex production and test equipment for the depot maintenance program. Oversee the purchase and fabrication of equipment, fixtures, and tools-many of which are unique due to specialized requirements for tracked and wheeled vehicles and artillery maintenance operations not found commercially or within existing designs. Incorporate flexible automation such as robotics and machine vision technology into design efforts. Oversee assembly and ensure proper operation/function of equipment. Demonstrate, train, and release equipment to operating shop personnel. Experience/Skills: 5-10 years of relevant engineering experience required. Strong knowledge of mechanical design principles, manufacturing processes, and automation technologies. Experience with production or test equipment design for vehicle systems is highly desirable. Ability to manage multiple design and implementation projects simultaneously. Clearance: Active NACI Clearance is required. Must be a United States Citizen and pass a background check. Maintain applicable security clearance(s) at the level required by the client and/or applicable certification(s) as requested by FEDITC and/or required by FEDITC'S Client(s)/Customer(s)/Prime contractor(s). FEDITC, LLC. is committed to fostering an inclusive workplace and provides equal employment opportunities (EEO) to all employees and applicants for employment. We do not employ AI tools in our decision-making processes. Regardless of race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran, FEDITC, LLC. ensures that all employment decisions are made in accordance with applicable federal, state, and local laws. Our commitment to non-discrimination in employment extends to every location in which our company operates.

Auto Desk Upgrade Lead planning, execution and validation of Autodesk Vault upgrade Collaborate with engineering CAD, and IT Team to support Vault upgrade roadmap. Ensure robust data migration, backup and recovery strategies. Conduct required validation after upgrade Document upgrade procedures and train end user as needed. Coordinate with Autodesk support for unresolved upgrade related issues. SCCM Package deployment: Validation SCCM packages work as expected. Investigate/resolve any installation failures after package installation. Monitor deployment success rates and troubleshoot issues. Track and resolve user- reported bugs or regressions introduced during the upgrade. Support rollback or contingency plans if critical issues arises. Manage Vault user roles, permissions, and access controls. Support CAD teams with Vault- related workflows. Manually install/updates SCCM for some applications.