Cloud Architect

ecute network implementation activities as per approved High-Level Design (HLD) and Low-Level Design (LLD).

2

Configure and deploy L2/L3 switches in standalone, Stacks,SVL, VSS  (Core, Distribution, TOR, Access).

3

Implement and validate routing protocols (BGP, OSPF, Static routing) under guidance of L3/Architect teams.

4

Implementation of L2 protocols on STP,BPDU,VTP and HSRP,VRRP protocols on network devices

5

implementation of migration projects & Activities on cisco and Arista switches

6

Provide L2 operational support for routing, switching, any incidents.

7

Perform configuration changes, port activations, VLAN changes, and access rule updates as per change management process

8

Maintain accurate network documentation (topologies, IP plans, configurations).

9

Prepare implementation reports, test results, and BAU handover documents

10

CCNP routing & switching certified or trained

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1

Deploy, configure, and maintain Fortinet , Cisco and Palo Alto Networks firewalls in Data Center, DMZ, WAN, and Internet-facing environments.

2

Good hands on knowledge of Panorama for Palo alto management

3

Implement firewall configurations as per approved HLD / LLD and enterprise security standards.

4

Configure security zones, interfaces, routing, NAT, and high availability (HA).

5

Perform firewall migration activities, upgrades, and cutovers with proper rollback planning.

6

Coordinate with network, server, cloud, and ISP teams during implementation.

7

Implement and support IPSec VPNs (Site-to-Site) and SSL VPNs (Remote Access).

8

Design and implement firewall security policies following least privilege principles.

9

Configure and manage security profiles, including: IPS, webfilter, URL filtering, Application control on the firewall

10

Perform firewall rule changes, VPN updates, and profile modifications via change management process.

11

Perform hardening of firewall devices as per enterprise and industry standards (CIS, ISO, internal security baselines).

12

Participate in incident, problem, and change management (ITIL) processes.

13

Prepare implementation reports and SOP Documents.

Job Summary

We are seeking a dynamic and highly organized Executive Assistant to support our Managing Director. The role requires managing high-level administrative tasks, coordinating business travel and meetings, and acting as a reliable point of contact. The candidate should be open to frequent travel and capable of handling a fast-paced work environment with complete confidentiality.

Key Responsibilities

• Manage the MD’s schedule, travel plans, appointments, and calendar
• Coordinate meetings, conferences, and events, including logistics and follow-ups
• Domestic Travel when required.
• Prepare reports, presentations, and official correspondence on behalf of the MD
• Follow up on action items and ensure timely execution of tasks
• Maintain a high level of confidentiality and professionalism
• Liaise with key departments and stakeholders for project coordination
• Conduct basic research and provide data-driven inputs for decision-making

Required Skills and Qualifications

• Graduate/Postgraduate in Business Administration or related field (MBA preferred)
• 3–7 years of experience as an Executive Assistant or in a similar role
• Excellent verbal and written communication skills
• Strong command of MS Office (Word, Excel, PowerPoint, Outlook)
• Willingness to travel frequently and adapt to changing schedules
• Ability to multitask, prioritize, and work under pressure
• High integrity, discretion, and a professional demeanor

What We Offer

• Direct exposure to leadership and strategic business operations
• Growth-oriented and supportive work environment
• Opportunity to travel and represent the company in key business forums

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Greetings!!

We are looking for a Automation test engineer for one of our premium clients

Experience: 6 to 13 years

Location: Bangalore (WFO)

JD:

' - Proficient in object-oriented design and expertise with one of the following programming languages: Python, Java

- Knowledge of at least one backend test automation frameworks (E.g., REST Assured, pytest etc.)

- Experience working with version control software (E.g. GitHub) and issue/project tracking software (E.g., Jira)

- Experience with SQL queries, stored procedures, and data analysis/validation tools such as Databricks

- Functional knowledge of working with Kafka, Amazon SQS, Kinesis datastream, Docker, Kubernets

- Some experience with Jenkins/ Spinnaker/Gitlab CICD similar build tools

'- Experience working with software development/debugging tools (E.g., Postman, curl, Chrome dev tools)

- Experienced in defining/executing/maintaining test cases and experience with building out test plans for backend services

- Good understanding of quality-related agile methodologies and tools and validated experience using both during the SDLC

- Strong verbal and written communication skills (E.g., whiteboarding/diagramming system behavior)

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

Job brief

We are looking for a Full Stack Developer to produce scalable software solutions. Youll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

Responsibilities

• Work with development team and product managers to ideate software solutions.
• Design client-side and server-side architecture.
• Build the front-end of applications through appealing visual design.
• Develop and manage well-functioning databases and applications.
• Write effective APIs.
• Test software to ensure responsiveness and efficiency.
• Troubleshoot, debug and upgrade software.
• Create security and data protection settings.
• Build features and applications with a mobile responsive design in mind.
• Write technical documentation.

Requirements

• B.E./B.Tech. in Computer Science or a degree in Computer Science background.
• Experience as a Full Stack Developer or similar role (Institute or Organization level).
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, jQuery)
• Knowledge of back-end languages and JavaScript frameworks (e.g. React and Node.js)
• Familiarity with MongoDB, web servers, and UI/UX design.
• Excellent communication and teamwork skills.
• Great attention to detail.
• Organizational skills.
• An analytical mind.
• Knowledge of Cloud Platforms like AWS or GCP is a plus.