<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
<p>We’re seeking a dynamic Infrastructure Engineer to design, build, and maintain our critical IT infrastructure. You’ll ensure high availability, scalability, and security across servers, storage, and cloud systems. If you’re passionate about creating resilient systems and solving complex technical challenges, join us to power our technology backbone!</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and deploy infrastructure solutions, including servers, virtualization, and storage systems.</li><li>Manage and optimize on-premises and cloud environments (e.g., AWS, Azure, VMware).</li><li>Automate provisioning, monitoring, and scaling using tools like Terraform or Ansible.</li><li>Troubleshoot and resolve issues impacting system performance or availability.</li><li>Implement security best practices, including patch management and access controls.</li><li>Collaborate with DevOps and application teams to support CI/CD pipelines.</li><li>Document infrastructure designs and maintain operational runbooks.</li></ul><p><br></p>
<ul><li>Design, build, and maintain scalable data pipelines and architectures.</li><li>Develop processes for data collection, transformation, and storage to support analytics, reporting, and business intelligence.</li><li>Clean, organize, and validate large volumes of data from various sources.</li><li>Optimize data workflows for performance and reliability.</li><li>Collaborate with data scientists, analysts, and software engineers to meet business data needs.</li><li>Implement security, data governance, and compliance controls.</li><li>Troubleshoot data issues and ensure data consistency and quality.</li></ul><p><br></p>
<p>The DevOps Engineer will design, build, and maintain secure, scalable, and highly available cloud infrastructure while accelerating delivery of features through automation, CI/CD, and observability. You’ll be a force multiplier for engineering teams, ensuring systems are fast, resilient, and easy to operate.</p><p> </p><p>Key Responsibilities:</p><ul><li>Build, expand, and optimize cloud infrastructure (AWS, GCP, or Azure) using Infrastructure as Code (Terraform, Pulumi, CloudFormation, CDK)</li><li>Design and implement CI/CD pipelines that enable multiple daily deployments with zero downtime (GitHub Actions, GitLab CI, ArgoCD, Jenkins, CircleCI)</li><li>Automate everything: configuration management (Ansible, Chef, Puppet), application deployments, self-healing systems, and security hardening</li><li>Own production reliability: monitoring, alerting, log management, and on-call response (Datadog, Prometheus+Grafana, New Relic, PagerDuty, Opsgenie)</li><li>Drive progressive delivery practices: blue-green, canary, feature flags, and rollback strategies</li><li>Perform capacity planning, cost optimization, and performance tuning across compute, storage, and networking</li><li>Collaborate in project planning to evaluate technical feasibility, risks, and delivery trade-offs</li><li>Harden systems and pipelines for security and compliance (IAM, Vault, Trivy, Snyk, OPA/Gatekeeper)</li><li>Document architectures, runbooks, and processes while mentoring engineers on DevOps best practices</li></ul><p> </p><p>Required Qualifications:</p><ul><li>Bachelor’s degree in Computer Science, Engineering, or equivalent experience</li><li>3–7+ years of hands-on DevOps/SRE/Platform Engineering experience</li><li>Expert-level Infrastructure as Code (Terraform preferred) and configuration management (Ansible strongly preferred)</li><li>Deep experience with container orchestration (Kubernetes/EKS/GKE/AKS) and Docker</li><li>Strong CI/CD pipeline design and troubleshooting (GitHub Actions, ArgoCD, Flux, Jenkins)</li><li>Proficiency in at least one major cloud provider (AWS is a plus)</li><li>Solid scripting/programming skills (Python, Go, Bash)</li><li>Experience with observability stacks (metrics, logs, traces) and incident response</li></ul><p><br></p>
<p>The Software Engineer will design, build, and deliver high-quality, maintainable software that powers our core products and platforms. You’ll own features end-to-end — from requirements and architecture through implementation, testing, and production monitoring — while collaborating across engineering, QA, and hardware teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Translate product requirements into clean, detailed engineering specifications and architecture designs</li><li>Write robust, testable, and performant code in our primary stack (Python, Go, Java, TypeScript, or similar)</li><li>Collaborate with QA to create comprehensive test plans (unit, integration, E2E) and ensure high test coverage</li><li>Partner with hardware/embedded engineers to design, integrate, and validate software-hardware interactions</li><li>Drive adoption of consistent development methodologies (Agile, Scrum, or Kanban) within the team</li><li>Produce clear, up-to-date technical documentation: design docs, API specs, runbooks, and onboarding guides</li><li>Participate in code reviews, pair programming, and architecture discussions</li><li>Instrument code for observability and own the reliability of the features you ship</li><li>Continuously improve engineering practices, tooling, and velocity</li></ul><p> </p><p><strong>Required Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science, Engineering, or equivalent experience</li><li>3–8+ years of professional software development experience</li><li>Strong proficiency in at least one major backend language (Python, Go, Java, Node.js, C#, Rust) and related ecosystems</li><li>Proven ability to design systems and write production-grade code that is clean, tested, and maintainable</li><li>Experience collaborating with QA on test plans and automation</li><li>Comfortable reading and writing technical specifications and architecture diagrams</li><li>Solid grasp of data structures, algorithms, and software design patterns</li><li>Proficiency with version control (Git) and modern development workflows</li></ul><p><br></p>
<p>The Network Security Engineer will design, implement, and maintain secure enterprise network infrastructure while proactively defending against threats. You will own the availability, performance, and security of firewalls, intrusion detection/prevention systems, VPNs, and perimeter defenses across on-prem and multi-cloud environments.</p><p> </p><p>Key Responsibilities:</p><ul><li>Assess network security requirements and design hardened architectures (zero-trust, segmentation, DMZ, SASE/SSE)</li><li>Select, deploy, and integrate security appliances and software (firewalls, IDS/IPS, WAF, VPN concentrators, proxy, NAC)</li><li>Build and maintain firewall policies, NAT rules, VPN tunnels, and secure remote access solutions</li><li>Perform advanced troubleshooting of network and security incidents using packet capture, traffic analysis, and log correlation</li><li>Respond to security events, conduct root-cause analysis, and implement remediation plans</li><li>Manage and tune perimeter defenses: Palo Alto, Fortinet, Cisco Firepower, Check Point, Cloudflare, Zscaler, etc.</li><li>Implement and maintain intrusion detection/prevention (Snort, Suricata, Zeek, CrowdStrike Falcon, Microsoft Defender for Cloud)</li><li>Conduct regular security assessments, rule reviews, penetration test support, and compliance audits (PCI, SOC2, ISO27001, NIST)</li><li>Automate repetitive tasks via scripting (Python, Ansible) and infrastructure-as-code where possible</li><li>Provide Tier-3 escalation support and post-incident reporting</li></ul><p> </p><p>Required Qualifications:</p><ul><li>Bachelor’s degree in Computer Science, Information Security, or equivalent experience</li><li>4–8+ years of hands-on network security engineering experience</li><li>Expert-level knowledge of firewalls (Palo Alto PAN-OS strongly preferred, or Fortinet, Check Point)</li><li>Deep understanding of TCP/IP, routing/switching (BGP, OSPF), and network protocols</li><li>Experience with IDS/IPS, web application firewalls, VPN (IPsec & SSL), and proxy technologies</li><li>Proficiency with packet analysis tools (Wireshark, tcpdump, Zeek)</li><li>Solid scripting/automation skills (Python, Bash, Ansible)</li><li>Relevant certifications: PCNSE, CCNP Security, CISSP, or equivalent</li></ul><p><br></p>
<p>We are on a mission to make our communities safer and more secure. Our cutting-edge public safety product aims to prevent and solve crimes through advanced analytics, visualization, and performance-driven solutions. Join us in creating a state-of-the-art platform that will revolutionize public safety. We’re seeking a Senior Full-Stack Engineer with deep expertise in NodeJS and Angular to drive the development of this cutting-edge product. You’ll play a key role in building highly performant, analytics-driven, and visualization-focused applications that empower decision-makers with actionable insights.</p><p><br></p><p>Key Responsibilities:</p><p>• Optimize for speed, scalability, and security; ensure compliance with standards.</p><p>• Build reusable components and libraries; lead code reviews and testing.</p><p>• Design and develop scalable and high-performance applications using NodeJS for backend and Angular for front-end development.</p><p>• Architect solutions with a focus on data analytics, visualizations, and real-time performance metrics that aid in crime prevention and resolution.</p><p>• Collaborate with cross-functional teams to ensure seamless integration of frontend and backend services, ensuring a fluid user experience for public safety officials and community users.</p><p>• Optimize applications for maximum speed, scalability, and security, ensuring compliance with best practices and regulatory standards.</p><p>• Develop reusable components and libraries that can be leveraged across multiple applications.</p><p>• Lead efforts in code reviews, testing, and continuous integration to ensure robust, reliable, and maintainable codebases.</p>
<p>The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and optimize machine learning models and algorithms for real-world applications.</li><li>Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets.</li><li>Deploy, monitor, and maintain machine learning models in production environments.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.</li><li>Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability.</li><li>Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps.</li><li>Document processes, methodologies, and results for reproducibility and knowledge sharing.</li><li>Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed.</li></ul><p> </p><p><strong>Required Qualifications:</strong></p><ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related fields (or equivalent experience).</li><li>Strong programming skills in Python (preferred) or similar languages.</li><li>Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.</li><li>Solid understanding of ML algorithms, including supervised, unsupervised, and deep learning methods.</li><li>Experience with data preprocessing, feature engineering, and model optimization techniques.</li><li>Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).</li><li>Familiarity with big data tools like Spark, Hadoop, or equivalent.</li><li>Knowledge of cloud platforms (AWS, GCP, Azure) for deploying and managing ML solutions.</li><li>Excellent problem-solving and communication skills.</li></ul><p><br></p>
<p>As a Senior Software Developer, you will play a critical role in designing, developing, and maintaining robust software solutions. You will collaborate with cross-functional teams, mentor junior developers, and contribute to the technical direction of projects. Your expertise will ensure the delivery of scalable, secure, and maintainable systems that align with business objectives.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead the design and development of software applications, ensuring adherence to best practices and coding standards.</li><li>Collaborate with product managers, architects, and stakeholders to gather requirements and define technical specifications.</li><li>Develop scalable and maintainable code using modern programming languages and frameworks.</li><li>Conduct code reviews, provide constructive feedback, and mentor junior team members.</li><li>Troubleshoot and resolve complex software issues, ensuring minimal downtime and impact.</li><li>Optimize application performance, scalability, and security through continuous improvement.</li><li>Contribute to the design and implementation of APIs, microservices, and distributed systems.</li><li>Stay updated on emerging technologies and recommend innovative solutions to enhance development practices.</li><li>Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.</li><li>Ensure proper documentation of code, processes, and technical decisions.</li></ul><p> </p><p><strong>Required Qualifications:</strong></p><ul><li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.</li><li>5+ years of experience in software development, with a proven track record of delivering high-quality applications.</li><li>Proficiency in programming languages such as Java, Python, C#, or JavaScript.</li><li>Strong understanding of software design principles, patterns, and architectures (e.g., MVC, REST, microservices).</li><li>Experience with modern development frameworks and libraries (e.g., React, Angular, Spring Boot, Django).</li><li>Proficiency in version control systems like Git.</li><li>Knowledge of database systems, both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra).</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps practices (CI/CD pipelines, Docker, Kubernetes).</li><li>Strong debugging, testing, and problem-solving skills.</li></ul><p><br></p>
<p>We are seeking a highly skilled Microsoft Dynamics ERP Implementation Engineer to lead the deployment, customization, and integration of Microsoft Dynamics ERP solutions. The ideal candidate will ensure successful implementation while aligning system capabilities with business requirements and providing a robust foundation for growth.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Plan, design, and implement Microsoft Dynamics ERP solutions, including Dynamics 365 Finance, Supply Chain Management, Sales, and other modules as required.</li><li>Collaborate with stakeholders to gather business requirements and translate them into technical specifications.</li><li>Configure and customize Dynamics ERP modules to meet organizational needs, ensuring scalability and efficiency.</li><li>Manage data migration processes, including extraction, transformation, and loading (ETL) activities.</li><li>Lead system testing efforts, including unit testing, integration testing, and user acceptance testing (UAT).</li><li>Design and implement integrations with other enterprise systems using tools like Power Platform, Logic Apps, or third-party solutions.</li><li>Provide end-user training and create documentation to support system adoption.</li><li>Troubleshoot and resolve technical issues, ensuring system performance and reliability.</li><li>Stay updated on Microsoft Dynamics ERP updates, enhancements, and best practices.</li><li>Ensure that all implementations comply with project timelines, budgets, and quality standards.</li></ul><p><br></p>
<ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).</li><li>2–5 years of experience developing applications using .NET frameworks (C#, ASP.NET, .NET Core).</li><li>Proficient in object-oriented programming and design patterns.</li><li>Solid understanding of RESTful services, SOAP, and web technologies.</li><li>Experience with relational databases such as SQL Server or Oracle.</li><li>Familiarity with front-end technologies like JavaScript, HTML, CSS is a plus.</li><li>Knowledge of source control systems (e.g., Git, TFS).</li><li>Strong problem-solving and analytical skills.</li><li>Ability to work both independently and in a team-oriented environment.</li><li>Good communication and interpersonal skills.</li></ul><p><br></p>
