Wissen Technology

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python and PySpark.
• Work extensively with Databricks and Delta Lake, including Delta tables, MERGE operations, schema evolution, Time Travel, and data optimization.
• Develop, schedule, and monitor Apache Airflow DAGs for workflow orchestration and dependency management.
• Work with Kubernetes for containerized application deployment, orchestration, monitoring, and troubleshooting.
• Develop reusable and optimized Python code following software engineering best practices.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Implement data quality checks, error handling, logging, and monitoring mechanisms.
• Use Git for version control, branching, pull requests, code reviews, and collaborative development.
• Troubleshoot pipeline failures, investigate data issues, and implement reliable solutions.
• Collaborate with cross-functional teams to understand business requirements and deliver efficient data solutions.

Required Technical Skills

• Python: Strong programming skills, including data manipulation, exception handling, modular programming, and debugging.
• PySpark: Hands-on experience with Spark DataFrames, Spark SQL, joins, transformations, partitioning, and performance tuning.
• Databricks: Strong understanding of Databricks architecture, notebooks, workflows, compute management, and job execution.
• Delta Lake: Experience with Delta tables, ACID transactions, MERGE/UPSERT, schema enforcement, schema evolution, VACUUM, and Time Travel.
• Apache Airflow: Experience developing DAGs, managing task dependencies, configuring retries, scheduling workflows, and troubleshooting failures.
• Kubernetes: Practical knowledge of pods, deployments, services, ConfigMaps, Secrets, resource management, and troubleshooting containerized workloads.
• Git: Proficiency in branching strategies, pull requests, merging, and resolving conflicts.
• SQL: Strong SQL skills, including complex joins, CTEs, window functions, and query optimization.

Good to Have

• Experience with Docker and containerization best practices.
• Experience with Databricks Unity Catalog and data governance.
• Knowledge of CI/CD pipelines and automated deployments.
• Experience deploying and managing Airflow workloads on Kubernetes.
• Familiarity with Kubernetes monitoring, autoscaling, and resource optimization.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Understanding of data lakehouse architecture and data modeling.
• Experience with batch and incremental data processing.
• Familiarity with data quality frameworks and automated testing.

Preferred Candidate Profile

• Strong analytical and problem-solving skills.
• Ability to independently design, develop, deploy, and troubleshoot data pipelines.
• Good understanding of distributed data processing and container orchestration.
• Experience working in an Agile development environment.
• Strong communication and collaboration skills.
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Key Responsibilities:

• Deliver new functionalities for calculation platform and for upcoming next gen applications for the Sustainability & Climate Business.
• Monitor and optimize application performance.
• Closely collaborate with Product Management, Research and Product Development, Quality Assurance, Data Operation and IT Infrastructure on all stages of software development life cycle.
• Having very good hands-on working experience in Python and Fast API/Flask/Django or similar Rest API based Frameworks.
• Should have worked on at least one end to end Development project from scratch.
• Worked in a team to implement features and partner with Product Owners, UI/UX Team, Architects, and QA to develop implementation plans with a focus on innovation, quality, sustainability, and delivering value to our business clients.
• Responsible for delivery of high-quality enterprise offerings within schedules.
• The candidate should have excellent problem solving and debugging skills.
• The candidate should have experience with maintenance of legacy, phyton applications and incident management on production systems
• The candidate is expected to have excellent communication and good leadership skills.

Skills and experience that will help you excel:

• Good hands-on working experience in Python.
• Experience in research-oriented calculation frameworks like Numpy and Pandas
• Proficient in RESTful Web Services using Fast API, Django or Flask.
• Good Understanding and hands on experience with SQL/NoSQL Databases
• Good understanding of the importance of testing in software development and the usage of unit testing framework like pytest/unittest.
• Source code control systems, especially Git. - Hands on cloud technologies Google or Azure preferred
• Hands on experience with Azure Databricks, Spark, or similar framework
• Experience in building batch/ETL/integration process on cloud preferred Google, Azure
• Existing domain knowledge of climate products including emissions, physical risk, biodiversity
• Experience in developing and managing microservices on cloud.
• DevOps, and well versed with security practices.
• Exposure and advocate of Open source software
• Exposure to use of AI, LLM to solve business problems is an added advantage.
• Experience In designing solution for data-driven applications
• Strong communication, interpersonal and problem-solving skills
• Bachelors degree in computer science, Mathematics, Engineering, related field, or equivalent experience

Please see below JD and please share relevant profiles asap

We are seeking a skilled and motivated Java Full Stack Developer with 7-8 years of hands-on experience in designing, developing, and maintaining scalable web applications.

The ideal candidate should be proficient in both backend (Java, Spring Boot) and frontend (Angular, JavaScript, HTML, CSS) technologies, with strong problem-solving skills and the ability to work in a collaborative environment.

Key Responsibilities

· Develop and maintain web applications using Java (Spring Boot) for backend and Angular for frontend

· Participate in the full software development lifecycle: requirement analysis, design, coding, testing, and deployment

· Integrate RESTful APIs for seamless frontend-backend communication

· Optimize application performance and ensure cross-device responsiveness

· Write clean, maintainable, and well-documented code

· Troubleshoot and debug issues across the stack

Technical Skills:

· Languages & Frameworks: Java, Spring Boot, Angular, HTML, CSS, JavaScript

· Tools & Platforms: Git, Maven, Postman, JIRA, Jenkins

· Databases: Oracle, PostgreSQL, MySQL

· Others: RESTful APIs, JWT

Senior Network Security Engineer (Microsegmentation) 

Key Responsibilities 

• Translate high-level business strategic objectives and goals into Enterprise IT requirements and conceptual designs. 
• Develop and support comprehensive solutions that meet requirements and align with HPE’s global network security and microsegmentation strategy. 
• Develop and maintain a multi-year strategic network and security architecture roadmap, incorporating Zero Trust and segmentation-driven security models. 
• Lead end-to-end network and security architecture across global platforms ensuring secure, high-performing, fault-tolerant, and resilient environments. 

Microsegmentation & Zero Trust Responsibilities 

• Architect and implement microsegmentation strategies across data center, campus, and cloud environments to limit lateral movement and enforce least-privilege access. 
• Design and operationalize Zero Trust Architecture (ZTA) principles, integrating identity, application, and network-based policy enforcement. 
• Collaborate with application owners to discover, validate, and map application dependencies to enable policy-driven segmentation. 
• Define and enforce granular security policies using label/tag-based segmentation approaches across hybrid environments. 
• Integrate microsegmentation with firewalls, SIEM, IAM, EDR/XDR, and cloud-native controls for unified policy enforcement. 
• Lead adoption of microsegmentation platforms (e.g, Guardicore/Akamai Segmentation). 
• Develop segmentation governance models, policy lifecycle management, and compliance alignment (CIS/NIST/Zero Trust frameworks). 

Core Network Security Responsibilities 

• Participate in network security design reviews and ensure all implementations meet enterprise security standards. 
• Analyze business requirements to design and implement security across data centers, campus networks, and hybrid environments. 
• Provide ongoing risk metrics, control effectiveness tracking, and security posture reporting. 
• Conduct and support internal and external security audits and compliance assessments. 
• Maintain awareness of emerging threats and update policies accordingly. 
• Develop and manage policies, processes, and procedures ensuring reliability, availability, and security of network systems. 
• Manage and optimize Security Information and Event Management (SIEM) systems. 
• Collaborate with Cyber Security, infrastructure, and application teams toward compliance and operational excellence. 

Technical Qualifications 

• 10+ years of experience in enterprise network security architecture, engineering, and operations. 

Microsegmentation & Advanced Security 

• Strong hands-on experience in designing and implementing microsegmentation solutions in complex enterprise environments. 
• Proven capability to build application-aware segmentation policies based on traffic flow analysis. 
• Experience with policy simulation, enforcement, monitoring, and optimization in segmentation platforms. 
• Understanding of east-west traffic inspection, workload protection, and software-defined segmentation. 
• Familiarity with Zero Trust Network Access (ZTNA) and identity-driven access models. 

Network Security & Infrastructure 

• Strong experience managing LAN/WAN security technologies, including firewalls, IDS/IPS, SIEM, VPN, and NAC. 
• Expertise in firewall architecture and design with hands-on experience in:  
• Fortinet (Fortigate), Palo Alto, Juniper 
• Policy design, NAT, routing, application control, and threat prevention profiles 
• Experience securing public and private cloud (AWS, Azure, GCP) environments. 
• Design and implementation of Web Application and API Protection (WAAP) solutions. 
• Strong experience in proxy (forward/reverse), load balancing, and application security integration. 
• Experience with SDN and SD-WAN architectures, including segmentation use cases. 

Networking & Protocol Expertise 

• Strong knowledge of:  
• Routing protocols: BGP, OSPF, RIP, MPLS 
• Network services: DNS, DHCP, NTP 
• IPv4/IPv6 architecture and traffic management 
• Experience in QoS, NetFlow, ACLs, NAT, multicast, and wireless technologies (802.11 variants). 
• Experience with F5 GTM/LTM, VPN technologies, and Internet proxy solutions. 

Data Center & Infrastructure 

• Experience managing enterprise data center environments with technologies including:  
• Aruba, Arista, Juniper switching 
• Firewalls, WAN optimization, IDS/IPS, DLP 
• Strong understanding of structured cabling and network facilities. 

Operations & Lifecycle Management 

• Plan, implement, and document infrastructure changes, including upgrades and migrations. 
• Work within ITIL frameworks for incident, change, and problem management. 

Education & Certifications 

• Bachelor’s Degree in Computer Science, Network Engineering, or related field (or equivalent experience). 
• 10+ years of experience in global network security environments. 
• Preferred certifications:  
• CCNP / CCIE 
• JNCIE 
• Security certifications (CISSP, CISM, or equivalent) are a plus 

Key Differentiators Added (for your context) 

This version strengthens the JD by: 

• Embedding microsegmentation as a core capability (not just one bullet) 
• Aligning with Zero Trust and application dependency mapping (important for your programs) 
• Emphasizing cross-team collaboration with application owners (critical for rollout success) 
• Integrating segmentation with existing firewall + SIEM ecosystem (not replacing, but complementing) 

• 3 years of relevant experience in DevOps, Site Reliability Engineering (SRE), cloud operations, or application production support.
• Strong practical understanding of AWS cloud services, including compute, storage, IAM, networking, security, and monitoring.
• Good Linux administration skills, including system troubleshooting, performance analysis, log investigation, and service management.
• Hands-on experience with GitLab CI/CD, including pipeline configuration, execution, troubleshooting, YAML files, variables, artifacts, and GitLab Runners.
• Mandatory hands-on experience with Infrastructure as Code (IaC), preferably Terraform, including infrastructure provisioning, configuration management, reusable modules, state management, and troubleshooting deployment issues.
• Working knowledge of Git, branching strategies, merge requests, and version control workflows.
• Good understanding of networking fundamentals, including DNS, TCP/IP, ports, routing, load balancers, and AWS security groups.
• Ability to systematically investigate and resolve infrastructure, application, and deployment issues using logs, metrics, monitoring tools, and dependency analysis.
• Working knowledge of Python or Shell scripting for operational automation and troubleshooting.
• Strong problem-solving skills, communication, collaboration, willingness to learn, and ownership of incidents through resolution.

Preferred Skills and Experience

• Basic SQL knowledge for application and database-related operational investigations.
• Experience with AWS monitoring and logging services, particularly Amazon CloudWatch.
• Familiarity with incident, problem, and change management processes in production environments.
• Exposure to operational automation, proactive monitoring, alert optimization, and root cause analysis (RCA).
• Understanding of cloud infrastructure best practices, including security, reliability, availability, and cost optimization.
• Experience supporting containerized applications using Docker, Kubernetes, or Amazon EKS would be an advantage.

- 6–7 years of experience operating and enhancing enterprise-scale data platforms.

- Hands-on experience applying DataOps, DevOps, and software engineering practices to data platform operations.

- Professional experience working with AWS cloud environments.

- Experience monitoring, troubleshooting, and remediating issues across data pipelines, orchestration tools, and platform services.

- Working knowledge of data observability concepts and practices.

- Hands-on proficiency with SQL, relational database concepts, and data warehousing.

Deep expertise in React.js, JavaScript/TypeScript (ES6+), HTML5, and CSS3 for enterprise scale frontend development (6+ years) • Node.js with Fastify or Express for scalable backend services and API development (6+ years) • Java Spring Boot for REST APIs, backend microservices, and distributed systems (6+ years) • Microfrontend and microservice architecture design and technical ownership at production scale • Azure App Services, Azure Functions, Azure DevOps, and cloud-native design patterns • RESTful API design, integration patterns, observability, and distributed systems engineering • Technical leadership across multiple engineering teams, architecture reviews, and ADR ownership • Experience using GitHub Copilot, Claude, and AI-assisted engineering workflows including MCP servers and reusable skills

Wissen Technology is looking for experienced Java Developers to join our team in Bangalore!

📍 Location: Bangalore

💼 Experience: 5–7 Years

⚡ Immediate Joiners Only

🔑 Key Skills

Strong experience in Core Java

Strong understanding of OOPs concepts

Hands-on experience with Java Collections

Strong knowledge of Multithreading & Concurrency, DSA (Data Structures & Algorithms), Spring Boot & Microservices, REST APIs, SQL / Database

📌 Please Note: Only candidates currently based in Bangalore can apply, as the interview process includes F2F rounds.

Required Skills

• 5+ years of experience in Backend Java Development.
• Strong proficiency in Core Java.
• Hands-on experience with Spring Boot.
• Experience with Spring Framework, Spring Data JPA, and Hibernate.
• Experience with Spring Batch.
• Strong understanding of RESTful APIs.
• Good knowledge of Microservices architecture.
• Strong experience with SQL databases.
• Exposure to NoSQL databases.
• Experience with Git and CI/CD.
• Experience with JUnit, Mockito, or similar testing frameworks.
• Strong debugging and troubleshooting skills.
• Good understanding of software development best practices.

Good-to-Have Skills

• Docker / Kubernetes
• AWS / Azure / GCP
• Kafka / RabbitMQ
• Redis
• Swagger / OpenAPI
• Monitoring and logging tools

Key Responsibilities:

• Around 4+ years of experience in Java backend development. Candidates with 3+ years of relevant experience may also be considered.
• Strong problem-solving and coding skills in Java are mandatory.
• Strong knowledge of the Spring Framework, including Spring Boot, RS services, and Spring Batch.
• Experience with microservices architecture is preferred. Candidates with basic microservices exposure may also be considered.
• Good understanding of SQL and NoSQL databases. Strong knowledge of at least one database system, such as BigQuery or Oracle, is mandatory.
• Exposure to Kafka, Docker and Kubernetes will be an added advantage.
• Familiarity with AI coding tools such as Claude Code or Cursor will be an added advantage.
• Candidates should have strong programming fundamentals to validate and review AI-generated outputs.