Move Forward

Overview:

Leads advanced monitoring, complex investigations, and day-to-day oversight of SOC analysts. Ensure high quality security operations for ATS and customer environments.

Primary Responsibilities:

• Serve as escalation point for complex alerts and incidents.
• Lead incident response activities including containment and remediation.
• Conduct threat hunting and advanced analysis across SIEM, EDR, and cloud telemetry.
• Review analyst investigations for accuracy and provide coaching.
• Maintain and improve SOC runbooks, playbooks, and automation workflows.

Technical Skills:

• Advanced SIEM, EDR, and threat analysis expertise.
• Strong understanding of intrusion methods, malware behavior, and cloud log telemetry.
• Ability to lead SOC investigations and interpret complex evidence.
• Experience performing threat hunts and tuning detections.

Soft Skills:

• Strong leadership and mentorship abilities.
• Calm under pressure with strong attention to detail.
• Clear written and verbal communication.
• Customer focused mindset.

Minimum Requirements:

• 3+ years of SOC or incident response experience.
• Experience leading investigations and coaching analysts.
• Relevant certifications such as GCIH, GCIA, CySA+ or similar.

Preferred Requirements:

• Experience in an MSSP or multi-tenant SOC environment.
• SOAR automation and detection tuning experience.
• Knowledge of NIST, CIS, CMMC, and SOC 2 frameworks.
• SIEM: Wazuh (Operating in both Commercial and GCC High)
• Ticketing: JIRA, ServiceNow, ServiceTrax (Internal Tool)
• Documentation: Confluence/SharePoint
• IM/Email/Meetings: MSFT Teams, Office365/Outlook
• Event Correlation: NinjaOne
• SIEM Ingestion/Customer Tooling: MSFT Defender for Cloud/Endpoint, Sentinel One, Office365, Proofpoint, and other various sources
• DarkWeb Monitoring/Intel: Kela

Job Description

• Proficient in Power BI Desktop and Power BI Service
• Experience with:
  • Power Query (M language)
  • DAX (Data Analysis Expressions)
  • Report design and dashboard creation
  • Dataflows and datasets
• Understanding of Row-Level Security (RLS), deployment pipelines, and Power BI governance
• Knowledge of data modelling best practices
• Experience with data sources
• Ability to reverse engineer existing reports and logic
• Strong analytical and problem-solving abilities
• Ability to understand business logic embedded in Qlik reports and replicate it in Power BI
• Experience working with KPIs, metrics, and business dashboards

Job Description

• Full Stack Developer with strong working experience in .Net (C#) with SQL Server.
• Strong, hands-on experience in Web Services (SOAP/HTTP, REST APIs), .Net Core, MVC.
• Expertise in SQL Servers.
• Expertise in JavaScript, HTML5, CSS3, NodeJS, JQuery.
• Proficiency in developer tools such as Visual Studio, VS Code, etc.
• Experience in Power BI, micro services.
• Hands-on experience in designing and implementation of rich UI on an enterprise scale.
• Understanding of virtualization technologies.
• Experience in working on large-scale enterprise application development and deployments.
• Knowledge of version control, bug-tracking systems, automation (Git, JIRA, Jenkins).
• Experience with cloud-native architectures and infrastructure.
• Knowledge of using and building Docker-based deployments.
• Excellent written and verbal communication skills.
• Ability and desire to learn new skills.

Job Summary:

We are seeking a highly skilled and experienced Front-End Developer with 4–6 years of experience in Angular. You will be responsible for developing and maintaining high-quality web applications, working closely with UX/UI designers, back-end developers, and product owners to deliver scalable and performant solutions.

Key Responsibilities:

• Develop and maintain responsive web applications using Angular (v12 or higher).
• Collaborate with .NET Core backend developers to integrate APIs and ensure seamless data flow.
• Work closely with UI/UX designers to translate design wireframes into high-quality code.
• Build reusable components and front-end libraries for future use.
• Optimize components for maximum performance across a range of web-capable devices and browsers.
• Ensure application security, performance, and scalability.
• Participate in Agile development processes including daily stand-ups, sprint planning, and retrospectives.
• Provide technical mentorship to junior team members when required.

Required Skills:

• 4–6 years of experience in Angular development (preferably Angular 12+).
• Strong knowledge of TypeScript, RxJS, and Reactive Forms.
• Solid understanding of HTML5, CSS3/SASS, and modern JavaScript (ES6+).
• Experience integrating with RESTful APIs, especially those built with .NET Core.
• Familiarity with state management tools such as NgRx, BehaviorSubject, or Services-based state.
• Knowledge of responsive design principles and cross-browser compatibility.
• Experience with Git and version control workflows.
• Good understanding of modular architecture, lazy loading, and performance optimization.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent verbal and written communication.
• Ability to work independently and as part of a team.
• Proactive attitude and a willingness to learn.

Job Description:

We are looking for a highly experienced and self-driven Senior Python Django Developer to lead the design, development, and optimization of scalable backend systems. You will play a key role in architecting complex web applications, mentoring junior developers, and working cross-functionally to deliver high-quality software solutions.

Key Responsibilities:

• Design, develop, and maintain scalable and secure web applications using Python and Django.
• Architect RESTful APIs and ensure integration with front-end technologies and thirdparty systems.
• Optimize database design and queries for performance and scalability (PostgreSQL, MySQL, etc.).
• Lead code reviews, mentor junior developers, and enforce coding best practices.
• Collaborate with product managers, designers, DevOps, and QA teams to deliver new features.
• Implement CI/CD pipelines, write unit and integration tests, and ensure code quality.
• Monitor application performance and troubleshoot production issues.
• Stay updated with the latest Python/Django trends and recommend improvements.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in Python development, with at least 3+ years using Django.
• Strong experience with RESTful API design and system integration.
• Solid understanding of relational databases (PostgreSQL, MySQL) and ORMs.
• Proficient with Git, Docker, and CI/CD workflows.
• Experience working in Agile development environments.
• Strong problem-solving skills and ability to own complex backend projects end-to-end.

Job Description:

We are looking for a skilled and passionate AI Developer to design, develop, and implement AIpowered solutions that drive innovation and efficiency across our products and services. You will work closely with data scientists, software engineers, and product teams to bring cuttingedge machine learning models and AI applications into production.

Key Responsibilities:

• Design and build AI/ML models to solve real-world business problems.
• Develop and optimize algorithms for tasks such as natural language processing, computer vision, predictive analytics, or recommendation systems.
• Collaborate with cross-functional teams to integrate AI solutions into applications and platforms.
• Deploy models using cloud services (e.g., AWS, Azure, GCP) or containerized environments (e.g., Docker, Kubernetes).
• Stay up to date with the latest AI/ML research, tools, and frameworks.
• Monitor and evaluate model performance and retrain as needed.
• Ensure data privacy, security, and ethical AI practices.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2+ years of experience in AI/ML development (can be adjusted based on level).
• Strong programming skills in Python (TensorFlow, PyTorch, scikit-learn, etc.).
• Experience with data preprocessing, model training, validation, and deployment.
• Familiarity with APIs, RESTful services, and model serving frameworks (e.g., FastAPI, Flask, TorchServe).
• Proficiency with SQL and NoSQL databases.
• Understanding of software engineering best practices: version control (Git), CI/CD pipelines, etc.

Job Description

• Identify and pursue new business opportunities through lead generation, cold outreach, networking, and inbound inquiries.
• Understand client needs and propose tailored software solutions that meet their technical and business objectives.
• Conduct presentations to prospective clients.
• Collaborate with pre-sales and technical teams to create proposals, SOWs, and RFP responses.
• Negotiate contracts, pricing, and terms in line with company policies.
• Maintain strong relationships with existing clients to drive upsell/cross-sell opportunities and ensure customer satisfaction.
• Stay updated with market trends, competition, and emerging technologies.
• Track sales pipeline, activities, and forecasts using CRM tools.
• Experience with selling AI solutions is a plus.

Job Description:

Data Engineer is required to be proactive in designing, building and maintaining data systems. The role also requires cross-functional collaborations and ensure highest standards of data quality and performance by extending his expertise in data engineering, data architecture, pipeline creation and big data technologies.

Key Responsibilities:

• Understand the values and vision of the organization.
• Protect the Intellectual Property.
• Adhere to all the policies and procedures.
• Design, develop, and maintain scalable data pipelines for data ingestion, processing and storage.
• Build and optimize data architectures and data models for efficient data storage and retrieval.
• Develop ETL processes to transform and load data from various sources into data warehouses and data lakes.
• Ensure data integrity, quality, and security across all data systems.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
• Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
• Document data processes, architectures, and data flow diagrams.
• Implement and maintain data integration solutions using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow).

Required Skills & Experience:

• Expertise on Data Integration, processing & Storage.
• Expertise on Data optimization architecture, data process and data flow.
• Knowledge of Data integration tools like Apache Spark, Kafka & Airflow.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Experience with cloud data platforms (e.g., AWS, Azure, GCP) and their data services.
• Experience with data visualization tools (e.g., Tableau, Power BI).

Job Description:

As a DevOps Engineer, you will lead in designing, implementing, and maintaining our DevOps infrastructure. Using your expertise in continuous integration, deployment, and automation, you'll work with cross-functional teams to streamline development processes and improve system reliability. Responsibilities include managing cloud infrastructure, implementing configuration management best practices, ensuring application security and scalability.

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines to automate and optimize software development and deployment processes.
• Deploy, monitor, and maintain AI/ML models in production, ensuring scalability, security, and high availability.
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for AI-driven applications, ensuring cost-effectiveness and performance.
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or similar tools.
• Monitor system performance, troubleshoot issues, and ensure 99.9% uptime for AI services.
• Enhance containerization and orchestration strategies using Docker and Kubernetes.
• Implement security best practices, ensuring compliance with industry standards and regulations.
• Automate and streamline deployment, configuration management, and system monitoring.
• Collaborate with AI/ML engineers, data scientists, and software developers to ensure seamless integration of AI models.
• Set up logging, monitoring, and alerting solutions using Prometheus, Grafana, ELK stack, or similar tools.

Required Skills & Experience:

• Sound Experience in DevOps, Cloud Engineering, or Infrastructure Automation.
• Expertise in cloud platforms – AWS, Azure, or Google Cloud.
• Strong hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI).
• Proficiency in containerization (Docker) and orchestration (Kubernetes, Helm).
• Experience with Infrastructure as Code (IaC) – Terraform, Ansible, CloudFormation.
• Strong scripting skills in Python, Bash, or PowerShell for automation.
• Knowledge of security best practices – IAM, firewalls, encryption, vulnerability scanning.
• Experience in monitoring/logging tools – Prometheus, Grafana, ELK stack, Datadog.
• Familiarity with networking concepts, load balancing, and DNS management.
• Certifications in AWS (AWS Certified DevOps Engineer), Azure (Azure DevOps Engineer), or Kubernetes (CKA, CKS, EKS) would be preferred.