Engineering Manager( product based experienced candidate preferable)

Job Title : Senior Java Developer with Corticon

Experience : 5 to 8 Years

Location : Hyderabad (Work From Office)

Notice Period : Immediate to 15 Days (Official 30 Days Notice Acceptable if Negotiable to 15 Days)

Mandatory Skills : Java, Corticon, Project Management, SDLC, Problem-Solving, Analytical Thinking, Agile Methodologies.

Key Responsibilities :

• Develop and maintain scalable Java-based enterprise applications.
• Integrate and manage Corticon business rules engine within application architecture.
• Collaborate with cross-functional teams to deliver high-quality solutions on time.
• Participate in design reviews, code reviews, and performance tuning.
• Troubleshoot complex technical issues and implement appropriate solutions.

Required Qualifications :

• Bachelor’s degree in Computer Science, Engineering, or a related field (Regular Education only).
• Strong hands-on experience in Java development.
• Proven experience working with Corticon for business rules implementation.
• Excellent understanding of software development life cycle (SDLC) and Agile methodologies.
• Strong project management skills and experience in leading complex projects.
• Excellent analytical, problem-solving, and communication skills.

Note : This is an urgent hiring need. Candidates with Immediate to 15 Days of notice are highly preferred. Candidates on official 30 Days notice can also apply if flexible to join within 15 Days.

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.

The Localization Quality Assurance (QA) Architect is a strategic technical leader responsible for designing, implementing, and evolving robust QA architectures that ensure linguistic quality across the global content lifecycle. Serving as the bridge between business goals, compliance requirements, and technology, the QA Architect translates complex audience insights and regulatory demands into scalable, automated, and data-driven QA systems. This role drives continuous improvement through innovation and stakeholder collaboration, empowering teams to deliver culturally relevant, compliant, and high-quality localized content efficiently.

Business Leadership

Translate audience insights, buyer personas, and market intelligence into precise localization QA requirements that reflect strategic content and product needs.

Collaborate with cross-functional teams including product, engineering, marketing, and content to embed quality gates aligned with overarching product and content roadmaps.

Lead workshops, design sessions, and stakeholder meetings to align QA technical architecture decisions with evolving business goals and customer expectations.

Champion the adoption and integration of emerging QA tools, cutting-edge automation, and AI approaches that improve scalability, operational efficiency, and quality outcomes.

Promote a culture of continuous improvement by leveraging data-driven insights, process optimization, and ongoing team capability development.

Compliance Leadership

Architect and embed compliance frameworks into localization QA systems in full adherence to global privacy, accessibility, and intellectual property standards such as GDPR, PDPA, WCAG, ADA, and IP laws.

Integrate regulatory and contractual requirements seamlessly across all layers of the localization QA pipeline to ensure end-to-end compliance.

Design and implement features such as audit trails, change management controls, and traceability mechanisms to support ongoing regulatory compliance and contract obligations.

Collaborate closely with legal, compliance, and risk teams to tailor solutions addressing jurisdiction-specific complexities including data localization mandates and cross-border data flow restrictions.

Ensure system architectures and workflows comply continuously with export control laws and international content distribution regulations through automated governance rules.

Technical Leadership

Design modular, scalable QA architecture frameworks that support comprehensive lifecycle linguistic quality evaluation, including translation memory (TM) systems, terminology databases, and digital asset management.

Develop and maintain AI-driven linguistic error detection models that combine complex error typologies with configurable, flexible review workflows.

Lead the design and implementation of automated verification modules that assess cultural and contextual adaptation accuracy, ensuring global and localized market alignment.

Build real-time, interactive data analytics dashboards that provide risk assessment, quality forecasting, and KPI visualization capabilities to inform decision-making.

Oversee integration of QA automation platforms and tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines to facilitate seamless delivery workflows.

Document technical architecture decisions comprehensively, and develop detailed operational guidelines, best practices, and training materials for engineering and QA teams.

Mentor and support QA engineers, technical leads, and other stakeholders in deploying, scaling, and advancing technology-enabled QA capabilities.ct compliance with data protection regulations including GDPR, PDPA, content accessibility standards such as WCAG and ADA, and intellectual property laws.

 Maintain thorough documentation and detailed tracking of QA tests, defects, and resolutions to support audit readiness and accountability.

 Escalate any identified compliance, data privacy, or contractual issues during QA processes to senior QA or compliance team members for timely resolution.

 Qualifications -

Bachelor’s or Master’s degree in Computer Science, Linguistics, Localization Engineering, or a related technical field.

 12+ years of experience in localization QA architecture, software engineering, or related roles with a focus on multilingual content quality.

 Strong expertise in designing scalable architectures integrating TM systems, terminology management, QA automation, and AI-based error detection.

 Proven experience with compliance frameworks relating to GDPR, PDPA, WCAG, ADA, intellectual property, and international content laws.

 Hands-on knowledge of automation toolchains, CI/CD pipelines, and data analytics platforms.

 Ability to lead cross-functional technical and business alignment sessions, translate complex requirements into actionable technical designs.

 Excellent documentation, training, and mentoring skills for enabling technical teams and stakeholders.

 Familiarity with emerging technologies in linguistic QA, AI/ML applications, and content lifecycle management within globalized environments.

About the Role :

 We are looking for an experienced Senior Network Engineer with a good background in Ansible to join our team. The ideal candidate will involve in implementation, and management of advanced network infrastructures, focusing on automation and optimization.

Key Responsibilities:

·         Managing network infra with 24/7 support environment and provide 99% network up time 

·         Managing & Troubleshooting of LAN, VLAN, Web filter, IP routing, LACP, Wireless & WAN networks

·         Hands on experience on Palo Alto firewalls, Cisco switches, HP Procurve, Aruba Wireless

·         Good to have knowledge on F5 load balancer, ClearPass, Aruba Wireless IAP/ Controller based Radius Integration

·         Develop, test, and maintain Ansible for network automation.

·         Monitor network performance and implement improvements.

·         Troubleshoot and resolve advanced network issues.

·         Collaborate with cross-functional teams to ensure network reliability and security.

·         Mentor junior network engineers and provide technical guidance.

Maintain comprehensive network documentation and ensure compliance with industry standards.

Qualifications:

·         Bachelor’s degree in computer science, Information Technology, or a related field.

·         Extensive experience as a Network Engineer, with a focus on senior-level responsibilities.

·         Knowledge in Ansible for network automation.

·         Deep understanding of network protocols (e.g., TCP/IP, BGP, OSPF).

·         Experience with network hardware (e.g., routers, switches, firewalls).

·         Proficiency in Cisco Meraki configuration and management.

·         Expert-level knowledge of Palo Alto firewalls.

·         Strong problem-solving and communication skills.

·         Relevant certifications (e.g., CCNA, CCNP, CPNSA) are highly desirable.

·         Experience with other automation tools (e.g., Terraform, Puppet).

Preferred Skills:

·         Experience with cloud networking (e.g., AWS, Azure).

·         Knowledge of network security best practices.

·         Knowledge in scripting languages (e.g., Python, Bash).

·         Experience with network monitoring tools (e.g., Nagios, SolarWinds).

·         Understanding of SDWAN (Software-Defined Networking) technologies.

·         Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).

·         Experience with VPN and remote access solutions.

·         Familiarity with ITIL processes and frameworks.

• Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support.

• Requirements

  • Proven experience as a .NET Developer or Application Developer
  • Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC))
  • Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
  • Familiarity with architecture styles/APIs (REST, RPC)
  • Understanding of Agile methodologies
  • Excellent troubleshooting and communication skills