Gruve

We are seeking an experienced WordPress Developer with expertise in both frontend and backend development. The ideal candidate will have a deep understanding of headless WordPress architecture, where the backend is managed with WordPress, and the frontend is built using React.js (or Next.js). The developer should follow best coding practices to ensure the website is secure, high-performing, scalable, and fully responsive. 

Key Responsibilities: 

Backend Development (WordPress): 

• Develop and maintain a headless WordPress CMS to serve content via REST API / GraphQL. 
• Create custom WordPress plugins and themes to optimize content delivery. 
• Ensure secure authentication and role-based access for API endpoints. 
• Optimize WordPress database queries for better performance. 

Frontend Development (React.js / Next.js): 

• Build a decoupled frontend using React.js (or Next.js) that fetches content from WordPress. 
• Experience with Figma for translating UI/UX designs to code. 
• Ensure seamless integration of frontend with WordPress APIs. 
• Implement modern UI/UX principles to create responsive, fast-loading web pages. 

Code quality, Performance & Security Optimization: 

• Optimize website speed using caching, lazy loading, and CDN integration. 
• Ensure the website follows SEO best practices and is mobile-friendly. 
• Implement security best practices to prevent vulnerabilities such as SQL injection, XSS, and CSRF. 
• Write clean, maintainable, and well-documented code following industry standards. 
• Implement version control using Git/GitHub/GitLab. 
• Conduct regular code reviews and debugging to ensure a high-quality product. 

Collaboration & Deployment: 

• Work closely with designers, content teams, and project managers. 
• Deploy and manage WordPress and frontend code in staging and production environments. 
• Monitor website performance and implement improvements. 

Required Skills & Qualifications: 

• B.E/B. Tech Degree, Master’s Degree required
• Experience: 6 – 8 Years
• Strong experience in React.js / Next.js for building frontend applications. 
• Proficiency in JavaScript (ES6+), TypeScript, HTML5, CSS3, and TailwindCSS.
• Familiarity with SSR (Server Side Rendering) and SSG (Static Site Generation). 
• Experience in WordPress development (PHP, MySQL, WP REST API, GraphQL). 
• Experience with ACF (Advanced Custom Fields), Custom Post Types, WP Headless CMS. 
• Strong knowledge of WordPress security, database optimization, and caching techniques. 

Why Join Us:

• Competitive salary and benefits package.
• Work in a dynamic, collaborative, and creative environment.
• Opportunity to lead and influence design decisions across various platforms.
• Professional development opportunities and career growth potential.

About the Role

We are seeking a Level 2 Network Engineer with expertise in Cisco Network Analytics, BAU Operations, and Device Management. The ideal candidate will be responsible for monitoring, troubleshooting, and optimizing Cisco network infrastructure, ensuring high availability, performance, and compliance with operational standards. He should be well versed in the Change and Incident Management process. He should be ready to work in 24 X 7 shift. 

Key Responsibilities

Network Monitoring & Incident Management:

• Monitor Cisco network infrastructure using tools such as Cisco DNA Center, Cisco Prime, ThousandEyes, NetFlow, or SolarWinds.
• Analyze network performance metrics, detect anomalies, and proactively address potential issues.
• Respond to and resolve network incidents, escalating complex issues to L3 teams when necessary.
• Perform Root Cause Analysis (RCA) for recurring network issues and implement corrective actions. 

BAU Operations & Device Management:

• Perform routine health checks, firmware updates, and configuration backups of network devices.
• Manage Cisco routers, switches, and wireless controllers, ensuring optimal configuration and uptime.
• Support device provisioning, decommissioning, and lifecycle management.
• Maintain inventory records for network devices and ensure compliance with security policies. 

Network Troubleshooting & Optimization:

• Diagnose and resolve network latency, packet loss, and connectivity issues.
• Troubleshoot routing protocols (BGP, OSPF, EIGRP) and switching issues (VLANs, STP, HSRP, VRRP).
• Work on QoS, ACLs, NAT, DHCP, and network segmentation to improve performance.
• Assist in capacity planning and network performance tuning. 

Change Management & Documentation:

• Implement network changes as per approved Change Management Process (ITIL framework).
• Document network configurations, changes, and troubleshooting procedures.
• Create and maintain standard operating procedures (SOPs) for network operations. 

Security & Compliance:

• Ensure compliance with network security best practices, including access controls and segmentation.
• Work with security teams to monitor for vulnerabilities and apply necessary patches.
• Assist in firewall policy reviews and VPN configurations, if required. 

Basic Qualifications

• BE / B'Tech / MCA / MSc + 2-5 years' experience. Cisco networking and BAU operations. 
• Hands-on experience with Cisco DNA Center, Cisco Prime Infrastructure, or Cisco ThousandEyes.
• Strong knowledge of routing & switching protocols (BGP, OSPF, EIGRP, VLANs, STP, HSRP, VRRP).
• Familiarity with network monitoring tools and log analysis for troubleshooting.
• Basic knowledge of firewall integrations, VPNs, and network security policies.

Preferred Qualifications 

• ITIL Foundation
• Desired certification from either of the following CCNP Enterprise or CCNP Security (preferred).
• Has a hands-on experience working multiple clients and deployments for the BAU operations and support‍

We are seeking an experienced and highly skilled Technical Lead with a strong background in Java, SaaS architectures, firewalls, and cybersecurity products, including SIEM and SOAR platforms. The ideal candidate will lead technical initiatives, design and implement scalable systems, and drive best practices across the engineering team. This role requires deep technical expertise, leadership abilities, and a passion for building secure and high-performing security solutions.

Key Roles & Responsibilities:

• Lead the design and development of scalable and secure software solutions using Java.
• Architect and build SaaS-based cybersecurity applications, ensuring high availability, performance, and reliability.
• Provide technical leadership, mentoring, and guidance to the development team.
• Ensure best practices in secure coding, threat modeling, and compliance with industry standards.
• Collaborate with cross-functional teams, including Product Management, Security, and DevOps to deliver high-quality security solutions.
• Design and implement security analytics, automation workflows and ITSM integrations.
•  Drive continuous improvements in engineering processes, tools, and technologies.
• Troubleshoot complex technical issues and lead incident response for critical production systems.

Basic Qualifications:

• A bachelor’s or master’s degree in computer science, electronics engineering or a related field
• 3-6 years of software development experience, with expertise in Java.
• Strong background in building SaaS applications with cloud-native architectures (AWS, GCP, or Azure).
• In-depth understanding of microservices architecture, APIs, and distributed systems.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of DevSecOps principles, CI/CD pipelines, and infrastructure as code (Terraform, Ansible, etc.).
• Strong problem-solving skills and ability to work in an agile, fast-paced environment.
• Excellent communication and leadership skills, with a track record of mentoring engineers.

Preferred Qualifications:

• Experience with cybersecurity solutions, including SIEM (e.g., Splunk, ELK, IBM QRadar) and SOAR (e.g., Palo Alto XSOAR, Swimlane).
• Knowledge of zero-trust security models and secure API development.
• Hands-on experience with machine learning or AI-driven security analytics.

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, focusing on Large Language Models (LLMs) and other deep learning applications.
• End-to-End Model Development: Lead the entire lifecycle of AI models—from data collection and preprocessing to training, fine-tuning, evaluation, and deployment.
• Fine-Tuning & Customization: Leverage techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications.
• Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1, exploring their applications in enterprise AI workflows.
• Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes.
• Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications.
• MLOps & CI/CD Pipelines: Implement best practices for MLOps, ensuring automated training, deployment, monitoring, and continuous improvement of AI models.
• Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable.
• API Development & Microservices: Develop RESTful APIs and microservices to integrate AI models seamlessly into enterprise applications.
• Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines.
• Collaboration & Stakeholder Engagement: Work closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions.
• Mentorship & Technical Leadership: Guide and mentor junior engineers, fostering best practices in AI/ML development, model fine-tuning, and software engineering.
• Research & Innovation: Stay updated with emerging AI trends, conduct experiments with cutting-edge architectures and fine-tuning techniques, and drive innovation within the team.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 5-8 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications  

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and implement software solutions that power machine learning models, particularly in LLMs 
• Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects 
• Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges 
• Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility 
• Design and implement a scale infrastructure for developing and deploying GenAI solutions 
• Support model deployment and API integration to ensure interaction with existing enterprise systems.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 3-5 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications 

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly 

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position summary:

We are seeking a Senior Software Development Engineer – Data Engineering with 5-8 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions. 

Key Roles & Responsibilities:

• Design, develop, and optimize ETL/ELT pipelines using Apache Spark, PySpark, Databricks, and Snowflake.
• Implement real-time and batch data processing workflows in cloud environments (AWS, Azure, GCP).
• Develop high-performance, scalable data pipelines for structured, semi-structured, and unstructured data.
• Work with Delta Lake and Lakehouse architectures to improve data reliability and efficiency.
• Optimize Snowflake and Databricks performance, including query tuning, caching, partitioning, and cost optimization.
• Implement data governance, security, and compliance best practices.
• Build and maintain data models, transformations, and data marts for analytics and reporting.
• Collaborate with data scientists, analysts, and business teams to define data engineering requirements.
• Automate infrastructure and deployments using Terraform, Airflow, or dbt.
• Monitor and troubleshoot data pipeline failures, performance issues, and bottlenecks.
• Develop and enforce data quality and observability frameworks using Great Expectations, Monte Carlo, or similar tools.

Basic Qualifications:

• Bachelor’s or Master’s Degree in Computer Science or Data Science.
• 5–8 years of experience in data engineering, big data processing, and cloud-based data platforms.
• Hands-on expertise in Apache Spark, PySpark, and distributed computing frameworks.
• Strong experience with Snowflake (Warehouses, Streams, Tasks, Snowpipe, Query Optimization).
• Experience in Databricks (Delta Lake, MLflow, SQL Analytics, Photon Engine).
• Proficiency in SQL, Python, or Scala for data transformation and analytics.
• Experience working with data lake architectures and storage formats (Parquet, Avro, ORC, Iceberg).
• Hands-on experience with cloud data services (AWS Redshift, Azure Synapse, Google BigQuery).
• Experience in workflow orchestration tools like Apache Airflow, Prefect, or Dagster.
• Strong understanding of data governance, access control, and encryption strategies.
• Experience with CI/CD for data pipelines using GitOps, Terraform, dbt, or similar technologies.

Preferred Qualifications:

• Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub).
• Experience in BI and analytics tools (Tableau, Power BI, Looker).
• Familiarity with data observability tools (Monte Carlo, Great Expectations).
• Experience with machine learning feature engineering pipelines in Databricks.
• Contributions to open-source data engineering projects.

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position Summary

We are seeking a System Test Engineer with expertise in SaaS applications providing cybersecurity solution to join our dynamic team. The ideal candidate will play a critical role in testing, validating, and ensuring the reliability and security of our SaaS-based cyber security platform. This position requires strong analytical skills, hands-on experience with automation, and a deep understanding of cloud environments, networking protocols, firewalls and security frameworks.

Key Roles & Responsibilities

• Design, develop, and execute system-level test plans, test cases, and automated test scripts for a SaaS-based cyber security platform.
• Validate end-to-end functionality, scalability, and performance of security applications integrated with external ITSM systems.
• Develop and maintain automation frameworks to streamline test execution and enhance test coverage.
• Conduct security, performance, and regression testing to identify vulnerabilities, bottlenecks, and reliability issues.
• Test and validate the functionality of agents that connect with the SaaS platform.
• Work closely with development, product management, and DevOps teams to troubleshoot issues and ensure high-quality product releases.
• Implement and execute API testing, system integration testing, and user acceptance testing.
• Participate in test strategy planning and provide feedback for continuous improvement of the test process.

Basic Qualifications

• A bachelor’s or master’s degree in computer science, electronics engineering or a related field
• 3-12 years of experience in system testing for SaaS applications and Cyber Security platforms.
• Strong knowledge of networking protocols (TCP/IP, HTTP/HTTPS, DNS, VPN, IPSec, TLS, etc.).
• Strong understanding of security concepts such as firewalls, IDS/IPS, zero-trust architecture, and cloud security controls.
• Hands-on experience with test automation tools (Selenium, Robot Framework, PyTest, etc.).
• Proficiency in scripting and automation using Python, Bash, or similar languages.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience with CI/CD pipelines and DevOps processes.
• Strong troubleshooting and debugging skills in distributed systems and cloud environments.

Preferred Qualifications

• Knowledge of security frameworks such as SOC2, ISO 27001, and compliance standards.
• Experience with security testing tools such as Burp Suite, Nessus, Wireshark, or Metasploit.
• Familiarity with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
• Certifications such as AWS Certified Security - Specialty, CCNA Security, CISSP, or CEH are a plus.

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position summary:

As a Salesforce Developer at Gruve, you'll be instrumental in designing, developing, and implementing cutting-edge solutions for our diverse clients. You'll leverage the full power of the Salesforce platform, including Sales Cloud, Service Cloud, Experience Cloud, and more, to craft exceptional customer experiences. This is your chance to contribute to high-impact projects, collaborate with top-tier talent, and accelerate your career in the cloud computing space using AI.

Key Roles & Responsibilities:

• Develop & Implement: Design, develop, and deploy robust and scalable Salesforce solutions using Apex, Aura and LWC. Contribute to the architecture of complex systems.
• Multi-Cloud Expertise: Implement and customize Salesforce Sales Cloud, Service Cloud, and Experience Cloud. Explore and leverage other Salesforce clouds (e.g., Marketing Cloud, Data Cloud, Revenue Cloud, Health Cloud, Financial Services Cloud) for comprehensive solutions.
• Integrations: Develop and maintain integrations between Salesforce and other systems using REST and SOAP APIs Mulesoft (or similar middleware solutions) experience is essential.
• DevOps: Contribute to our DevOps culture using tools like Copado for CI/CD.
• Client Collaboration: Work directly with clients to understand their needs, translate them into technical specifications, and present solutions.
• Problem Solving: Proactively identify and resolve technical challenges.
• Continuous Learning: Stay up-to-date with the latest Salesforce releases and best practices.
• Agentforce Optimization: Utilize Agentforce to improve agent productivity and customer experience.

Basic Qualifications:

• 3+ years of hands-on Salesforce development experience
• Deep proficiency in Apex, Aura, and LWC
• Proven multi-cloud experience including, but not limited to, Sales Cloud, Service Cloud, and Experience Cloud
• Strong understanding of Salesforce architecture and best practices
• Extensive experience with REST and SOAP API integrations
• Hands-on experience with Mulesoft (or similar middleware solutions)
• Experience with Copado for CI/CD is essential
• Agentforce experience is highly desirable
• Salesforce Data Cloud experience is a plus

Preferred Qualifications

• A bachelor’s or master’s degree in computer science, engineering or a related field.
• Salesforce Certified Platform Developer I & II (Required)
• Salesforce Certified Sales Cloud Consultant (Preferred)
• Salesforce Certified Service Cloud Consultant (Preferred)
• Salesforce Certified Experience Cloud Consultant (Preferred)
• Mulesoft Certified Developer (Preferred)
• Salesforce Data Cloud (Preferred)

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As an well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position summary:

We are seeking a Staff Engineer – DevOps with 8-12 years of experience in designing, implementing, and optimizing CI/CD pipelines, cloud infrastructure, and automation frameworks. The ideal candidate will have expertise in Kubernetes, Terraform, CI/CD, Security, Observability, and Cloud Platforms (AWS, Azure, GCP). You will play a key role in scaling and securing our infrastructure, improving developer productivity, and ensuring high availability and performance. 

Key Roles & Responsibilities:

• Design, implement, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, and Tekton.
• Deploy and manage Kubernetes clusters (EKS, AKS, GKE) and containerized workloads.
• Automate infrastructure provisioning using Terraform, Ansible, Pulumi, or CloudFormation.
• Implement observability and monitoring solutions using Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
• Ensure security best practices in DevOps, including IAM, secrets management, container security, and vulnerability scanning.
• Optimize cloud infrastructure (AWS, Azure, GCP) for performance, cost efficiency, and scalability.
• Develop and manage GitOps workflows and infrastructure-as-code (IaC) automation.
• Implement zero-downtime deployment strategies, including blue-green deployments, canary releases, and feature flags.
• Work closely with development teams to optimize build pipelines, reduce deployment time, and improve system reliability. 

Basic Qualifications:

• A bachelor’s or master’s degree in computer science, electronics engineering or a related field
• 8-12 years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Automation.
• Strong expertise in CI/CD pipelines, version control (Git), and release automation.
•  Hands-on experience with Kubernetes (EKS, AKS, GKE) and container orchestration.
• Proficiency in Terraform, Ansible for infrastructure automation.
• Experience with AWS, Azure, or GCP services (EC2, S3, IAM, VPC, Lambda, API Gateway, etc.).
• Expertise in monitoring/logging tools such as Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
• Strong scripting and automation skills in Python, Bash, or Go.

Preferred Qualifications  

• Experience in FinOps Cloud Cost Optimization) and Kubernetes cluster scaling.
• Exposure to serverless architectures and event-driven workflows.
• Contributions to open-source DevOps projects. 

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position summary:

We are seeking an experienced and highly skilled Technical Lead with a strong background in Java, SaaS architectures, firewalls and cybersecurity products, including SIEM and SOAR platforms. The ideal candidate will lead technical initiatives, design and implement scalable systems, and drive best practices across the engineering team. This role requires deep technical expertise, leadership abilities, and a passion for building secure and high-performing security solutions.

Key Roles & Responsibilities:

• Lead the design and development of scalable and secure software solutions using Java.
• Architect and build SaaS-based cybersecurity applications, ensuring high availability, performance, and reliability.
• Provide technical leadership, mentoring, and guidance to the development team.
• Ensure best practices in secure coding, threat modeling, and compliance with industry standards.
• Collaborate with cross-functional teams including Product Management, Security, and DevOps to deliver high-quality security solutions.
• Design and implement security analytics, automation workflows and ITSM integrations.
•  Drive continuous improvements in engineering processes, tools, and technologies.
• Troubleshoot complex technical issues and lead incident response for critical production systems.

Basic Qualifications:

• A bachelor’s or master’s degree in computer science, electronics engineering or a related field
• 8-10 years of software development experience, with expertise in Java.
• Strong background in building SaaS applications with cloud-native architectures (AWS, GCP, or Azure).
• In-depth understanding of microservices architecture, APIs, and distributed systems.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of DevSecOps principles, CI/CD pipelines, and infrastructure as code (Terraform, Ansible, etc.).
• Strong problem-solving skills and ability to work in an agile, fast-paced environment.
• Excellent communication and leadership skills, with a track record of mentoring engineers.

Preferred Qualifications:

• Experience with cybersecurity solutions, including SIEM (e.g., Splunk, ELK, IBM QRadar) and SOAR (e.g., Palo Alto XSOAR, Swimlane).
• Knowledge of zero-trust security models and secure API development.
• Hands-on experience with machine learning or AI-driven security analytics.