About The Role 

We are looking for a highly skilled Cloud Platform Developer to join a fast-paced and rapidly growing engineering team. The ideal candidate has a strong background in building and operating high-scale distributed systems and thrives in environments where ownership, technical excellence, and collaboration are essential.

Key Responsibilities

• Design, build, and maintain large-scale distributed systems that are reliable, performant, and scalable
• Contribute across the full software development lifecycle, from architecture and design to deployment, monitoring, and operations
• Collaborate closely with cross-functional engineering teams to deliver high- quality features and system improvements
• Debug complex production issues with strong analytical and problem-solving skills
• Drive technical initiatives, set best practices, and contribute to continuous improvement of system reliability and performance
• Provide technical leadership on new projects and infrastructure enhancements

Basic Qualifications

• 8+ years of software development experience in a fast-paced, high-growth environment
• Demonstrated experience building large-scale, distributed systems
• Proficiency in Go microservices and Kubernetes / SaaS platforms
• Experience operating distributed systems in production, with a strong sense of ownership and accountability
• Excellent communication skills and the ability to collaborate effectively across teams 

Preferred Qualifications

• Proficiency in Secure Software Development practices

Position Summary:

We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.

You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.

Key Responsibilities:

• Develop, Analyze and structure product specifications for input into GenAI programming tools.
• Operate GenAI systems to generate code based on structured inputs.
• Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
• Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
• Provide feedback to improve GenAI model outputs and prompt engineering strategies.
• Review and validate generated code for correctness, efficiency, and adherence to coding standards.
• Maintain documentation of input formats, code review findings, and feedback cycles.
• Stay current with advancements in GenAI programming tools and code generation technologies.
• Participate in code reviews and mentor junior developers.

Basic Qualifications:

• Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
• 8 to 10 years' experience with strong expertise in at least one of the following:
• TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
• Python (Django, Flask, FastAPI/ RestAPI)
• Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
• Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
• Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
• Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
• Strong understanding of software development principles and code review practices.
• Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
• Strong grasp of software design principles (OOP, SOLID, microservices).
• Excellent problem-solving, debugging, and collaboration skills.
• Excellent analytical and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience working with prompt engineering or structured input design for GenAI systems.
• Exposure to MLOps or AI model evaluation frameworks.
• Knowledge of software architecture and design patterns.
• Knowledge of containerization (Docker, Kubernetes).
• Exposure to serverless architecture and event-driven systems.
• Contribution to open-source or AI-driven development communities.

Position summary: 

We are seeking a skilled and proactive Network Consultant to support the enterprise network infrastructure of our global clients in a 24x7 operational environment. The ideal candidate will have a strong background in managing corporate network environments, both on-premises and cloud-based, and will be responsible for resolving complex technical issues, driving infrastructure improvements, and supporting critical network operations. 

Note:

This position is specifically designed for professionals with a background in corporate or enterprise networking. Candidates whose experiences are primarily in ISP NOC operations, telecom core infrastructure, customer provisioning, desktop support, field support (across ISP, telecom, or banking sectors), or Level 1 monitoring roles are therefore discouraged from applying.

Key Responsibilities:

· Manage and support enterprise-grade network infrastructure, including hybrid cloud environments (AWS/Azure) 

· Configure and troubleshoot network components including routers, switches, SD-WAN, firewalls, VPNs, wireless controllers, and load balancers 

· Manage cloud networking components such as VPCs, VNets, NSGs, subnets, and cloud gateways 

· Provide L2-level troubleshooting for complex network and infrastructure issues 

· Independently perform L2-level activities for infrastructure upgrades, hardware refreshes, patching 

· Execute network changes following ITIL-based incident and change management practices 

· Participate in major incident management (P1/P2) and support on-call rotations 

· Ensure compliance with security and audit standards; participate in infra-audits 

· Collaborate with vendors for issue resolution and escalations 

· Mentor L1 team, support knowledge sharing, and drive operational excellence in shift-based support 

· Contribute to internal documentation, SOPs, and knowledge base updates 

Required Skills & Qualifications:

· Total Experience: 4 to 7 years 

· Relevant Network Experience (Enterprise/Corporate): 3 to 6 years 

· Proven hands-on L2-level experience with enterprise networking technologies 

(Cisco, Juniper, Fortinet, AWS, Azure, etc.) 

· Familiarity with network security best practices and configurations 

· Ability to work in 24x7 shift operations, including night/weekend rotations 

Preferred Skills & Qualifications:

· Bachelor's in computer science/IT/Electronics Engineering, M.C.A. or equivalent University degree 

· Industry certifications such as CCNA, CCNP, JNCIS, Fortinet NSE, or equivalent 

· Exposure to infra-audits, compliance processes, and security controls 

· Strong documentation, verbal and written communication skills 

· Good analytical, problem-solving, and decision-making skills 

About the Role

We are seeking a highly skilled Security Analyst (Level 2) to join our MSSP SOC team. The ideal candidate will have expertise in SIEM (Splunk, QRadar), XDR/EDR solutions, and security analysis with hands-on experience in investigating and responding to security alerts. This role requires proficiency in reviewing and analyzing Level 1 alerts, providing detailed recommendations, and engaging with customers for incident handling. The candidate should also have basic SIEM administration knowledge and Python scripting skills for troubleshooting and playbook development.

Key Responsibilities

• Threat Detection & Response: Analyze and investigate security alerts, events, and incidents generated by SIEM, XDR, and EDR solutions.
• Incident Investigation & Handling: Conduct in-depth security incident investigations, assess impact, and take appropriate actions. 
• Incident Escalation & Communication: Escalate critical incidents to Level 3 analysts or senior security teams while maintaining detailed documentation.
• Content Management: Develop and fine-tune correlation rules, use cases, and alerts in SIEM/XDR platforms to improve detection accuracy.
• Malware Analysis: Perform basic malware analysis and forensic investigation to assess threats.
• Customer Request Handling: Collaborate with customers to address security concerns, provide recommendations, and respond to inquiries.
• SIEM Administration: Assist in the administration and maintenance of SIEM tools like Splunk or QRadar, ensuring smooth operations.
• Automation & Playbooks: Utilize Python scripting for automation, troubleshooting, and playbook development to enhance SOC efficiency.
• Reporting & Documentation: Prepare detailed reports on security incidents, trends, and mitigation strategies. 

Basic Qualifications

• B.E/B. Tech degree in computer science, Information Technology, Masters in Cybersecurity
• 3+ years of experience in a SOC or cybersecurity operations role.
• Strong knowledge of SIEM tools (Splunk, QRadar) and XDR/EDR solutions.
• Hands-on experience in threat detection, security monitoring, and incident response.
• Knowledge of network security, intrusion detection, malware analysis, and forensics.
• Basic experience in SIEM administration (log ingestion, rule creation, dashboard management).
• Proficiency in Python scripting for automation and playbook development.
• Good understanding of MITRE ATT&CK framework, security frameworks (NIST, ISO 27001), and threat intelligence.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a 24x7 SOC environment (if applicable)

Preferred Qualifications

• Certified SOC Analyst (CSA)
• Certified Incident Handler (GCIH, ECIH)
• Splunk Certified Admin / QRadar Certified Analyst
• CompTIA Security+ / CEH / CISSP (preferred but not mandatory

Position Summary:

We are looking for a highly experienced Network Architect & Operations Lead to drive the design, operation, and optimization of large-scale, AI inferencing data center environments. The ideal candidate will have a strong background in architecting and running complex distributed infrastructures supporting GPU-as-a-Service (GPUaaS) workloads, high-throughput AI inferencing traffic, GPU cluster networking, and globally distributed network topologies.

This role is central to ensuring the uptime, reliability, and scalability of our inferencing data centers. This role requires a senior professional with CCIE-level expertise (or equivalent capability) who can combine architecture, operations, team leadership, and automation skills to ensure network reliability, scalability, and operational excellence across a 24/7 GPU inferencing environment. The ideal candidate will lead and mentor a tiered team of L1, L2, and L3 network engineers, owning end-to-end network operations and SLA commitments for our AI inferencing data centers. Experience in high-scale environments such as Lambda Labs, Nvidia, Equinix, AWS, Azure, Google Cloud, or similar large AI infrastructure or hyperscale organizations is highly preferred.

Key Responsibilities:

• Operate large-scale AI inferencing data center network environments across multiple sites.
• Lead and manage a tiered NOC team (L1, L2, L3), driving operational discipline, escalation processes, and continuous uptime of inferencing infrastructure.
• Own uptime and SLA commitments for GPU inferencing data centres, ensuring high availability and rapid incident response.
• Design and maintain scalable network topologies supporting high-throughput GPU cluster traffic, east-west data flows, API traffic, VPN connectivity, and GPUaaS tenant workloads.
• Lead technical design decisions for leaf-spine data center architectures using Arista switching platforms.
• Configure, manage, and troubleshoot advanced routing protocols with a strong focus on BGP, EVPN, VXLAN, and large-scale traffic engineering.
• Manage and optimize Cisco firewall platforms (Firepower/FTD) to ensure secure and efficient traffic flows across tenant and infrastructure networks.
• Support GPU cluster networking including high-bandwidth, low-latency east-west traffic between GPU nodes, with familiarity in RDMA over Converged Ethernet (RoCE) or similar low-latency fabrics.
• Drive operational excellence through structured NOC methodologies, runbook standardization, incident management, and continuous optimization.
• Improve network efficiency through automation, tooling, and operational workflows.
• Perform deep troubleshooting and debugging of complex network and performance issues across Arista, Cisco, and Dell infrastructure.
• Lead network capacity planning, upgrades, and infrastructure scaling initiatives in line with GPU compute growth.
• Collaborate with cross-functional engineering teams (compute, storage, platform, security) to support business growth and ensure high availability.
• Document architecture standards, operational procedures, runbooks, and best practices.

Basic Qualifications:

• 10+ years of hands-on experience in network architecture or network operations within large-scale enterprise, cloud, or AI/HPC data center environments.
• Strong expertise in advanced routing & switching technologies, including BGP, OSPF, EVPN, and VXLAN.
• Deep operational understanding of multi-site, high-scale data center network infrastructure.
• Hands-on experience with Arista EOS and Arista switching platforms in a data center environment.
• Proven experience managing complex network topologies and distributed environments.
• Experience leading and managing NOC teams (L1/L2/L3), including escalation frameworks, shift management, and SLA ownership.
• Familiarity with high-performance compute (HPC) or GPU cluster networking and associated traffic patterns.
• Strong troubleshooting, debugging, and analytical skills across multi-vendor environments.
• Practical experience with network automation and operational optimization.

Preferred Qualifications:

• CCIE certification (or equivalent real-world expertise).
• Arista ACE (Arista Certified Engineer) certification or equivalent hands-on Arista expertise.
• Experience with GPU-as-a-Service (GPUaaS), AI/ML inferencing platforms, or hyperscale compute environments.
• Hands-on experience with Cisco Firepower / FTD firewall platforms and enterprise security frameworks.
• Experience with Dell PowerEdge or similar GPU server environments and their network integration.
• Familiarity with RDMA over Converged Ethernet (RoCE), InfiniBand, or other low-latency GPU interconnect fabrics.
• Experience with Arista and Cisco routing and switching platforms.Leaf-spine data center fabric design for AI/ML compute clusters.
• Experience with BGP EVPN and VXLAN overlay architectures. Network automation frameworks and scripting (Python, Ansible, Terraform)
• Experience with Tenant network isolation, VLANs, and multi-tenancy in GPUaaS environments.
• Additional certifications such as CCNP, Arista ACE-L, or equivalent advanced networking certifications.

About the Role

We are seeking an experienced Engineering Infrastructure Security Manager to lead the security of our production and non-production engineering systems. This is a critical leadership role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security, strong leadership capabilities, and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Team Leadership & Collaboration

• Build, mentor, and manage a high-performing team of security engineers
• Drive a “security as code” culture across engineering teams
• Collaborate with platform, SRE, and development teams to embed security into SDLC
• Provide training and guidance on secure infrastructure practices
• Foster a culture of security awareness and proactive risk reporting

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC (must-have)
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 8–12 years of experience in infrastructure security or related fields, with 3+ years in a leadership role
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Leadership & Collaboration

• Proven experience building and managing high-performing security teams
• Experience driving cross-functional initiatives across engineering, operations, and product teams
• Strong project management and execution skills
• Ability to mentor and grow security talent

Communication & Strategic Thinking

• Strong communication skills with ability to explain complex concepts to technical and non-technical stakeholders
• Experience presenting security strategies and risk insights to leadership
• Ability to translate business needs into security solutions
• Strong documentation and process definition skills

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

About the Role

We are seeking an experienced Infrastructure Security Engineer to work on the security of our production and non-production engineering systems. This is a critical  role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC.
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 2–5 years of experience in infrastructure security or related fields.
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

Position Summary:

We are looking for Level 2 Engineer for our Device Management Team, having 4+ years of experience in Device Management. The team member will be responsible for the administration of the Security Devices like Next Gen Firewall. He should be well versed in the Change and Incident Management process. He should be ready to work in 24 X 7 shift. 

Key Roles & Responsibilities:

Firewall Operations & Troubleshooting:

• Monitor, manage, and optimize firewall performance, health, and security.
• Perform advanced troubleshooting of firewall-related issues, working closely with L1 and L3 teams.
• Investigate security incidents, network anomalies, and connectivity issues.
• Fine-tune firewall rules, policies, and configurations for performance and security improvements.
• Work on packet captures and traffic analysis to diagnose network security issues.

Rule & Policy Management:

• Review, implement, and modify firewall rules while ensuring security and compliance standards.
• Conduct firewall rule audits and remove redundant or obsolete rules.
• Manage access control policies, VPN configurations, and segmentation policies.
• Ensure compliance with organizational and regulatory security guidelines.

Incident & Change Management:

• Act as an escalation point for L1 engineers and assist in resolving complex firewall issues.
• Participate in Root Cause Analysis (RCA) for recurring firewall incidents and recommend fixes.
• Handle firewall upgrades, patches, and firmware updates as per change management procedures.
• Support IT security and compliance teams in conducting risk assessments and vulnerability remediation.

BAU Operations & Automation:

• Implement automation scripts for firewall monitoring and reporting.
• Optimize firewall logging, alerting, and monitoring for proactive security management.
• Coordinate with vendors and OEM support teams for hardware/software troubleshooting.

Documentation & Reporting:

• Maintain up-to-date documentation on firewall configurations, rule changes, and security incidents.
• Prepare reports on firewall performance, threat activities, and policy violations.
• Provide training and mentorship to L1 engineers on firewall best practices.

Basic Qualifications:

• Bachelor’s degree in IT, Computer Science, or a related field.
• Relevant security/network certifications such as CCNP Security, Fortinet NSE 3+, Palo Alto PCNSA/PCNSE, Check Point CCSA/CCSE, Juniper JNCIS-SEC, or equivalent.
• Strong verbal and written communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to work with minimal levels of supervision or oversight.
• Ability to work in a 24x7 environment (if required) and manage escalations effectively.

Preferred Qualifications 

• ITIL Foundation
• Experience in working in shifts and hands on experience with ITIL framework
• Worked on multiple clients’ environments and deployment