Data scientist

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

What You’ll Do

Key Responsibilities

 Collaborate with vendors to gather requirements for API development and ensure

technical feasibility.

 Collect API documentation from vendors; document and explain business logic to

use external data sources effectively.

 Access vendor applications to create and validate sample data; ensure the accuracy

and relevance of test datasets.

 Translate complex business logic into documentation for developers, ensuring

clarity for successful integration.

 Monitor all integration activities and support tickets in Jira, proactively resolving

critical issues.

 Lead QA testing for integrations, overseeing pilot onboarding and ensuring solution

viability before broader rollout.

 Document onboarding processes and best practices to streamline future

integrations and improve efficiency.

 Build, train, and deploy machine learning models for forecasting, pricing, and

optimization, supporting strategic goals.

 Drive end-to-end execution of data integration projects, including scoping, planning,

delivery, and stakeholder communication.

 Gather and translate business requirements into actionable technical specifications,

liaising with business and technical teams.

 Oversee maintenance and enhancement of existing integrations, performing RCA

and resolving integration-related issues.

 Document workflows, processes, and best practices for current and future

integration projects.

 Continuously monitor system performance and scalability, recommending

improvements to increase efficiency.

 Coordinate closely with Operations for onboarding and support, ensuring seamless

handover and issue resolution.

Desired Skills & Qualifications

 Strong experience in API integration, data analysis, and documentation.

 Familiarity with Jira for ticket management and project workflow.

 Hands-on experience with machine learning model development and deployment.

 Excellent communication skills for requirement gathering and stakeholder

engagement.

 Experience with QA test processes and pilot rollouts.

 Proficiency in project management, data workflow documentation, and system

monitoring.

 Ability to manage multiple integrations simultaneously and work cross-functionally.

Required Qualifications

 Experience: Minimum 4 years in hotel technology or business analytics, preferably

handling data integration or system interoperability projects.

 Technical Skills:

 Basic proficiency in SQL or database querying.

 Familiarity with data integration concepts such as APIs or ETL workflows

(preferred but not mandatory).

 Eagerness to learn and adapt to new tools, platforms, and technologies.

 Hotel Technology Expertise: Understanding of systems such as PMS, CRS, Channel

Managers, or RMS.

 Project Management: Strong organizational and multitasking abilities.

 Problem Solving: Analytical thinker capable of troubleshooting and driving resolution.

 Communication: Excellent written and verbal skills to bridge technical and non-

technical discussions.

 Attention to Detail: Methodical approach to documentation, testing, and deployment.

Preferred Qualification

 Exposure to debugging tools and troubleshooting methodologies.

 Familiarity with cloud environments (AWS).

 Understanding of data security and privacy considerations in the hospitality industry.

• Experience in Spring Boot, Jenkins, Git, Hibernate, Kubernetes, and Docker
•  Experience in the development of scalable and extensible systems using Java
•  Proficiency in Database technology such as MySQL, Oracle, and MongoDB
• Routines Sync & Async
• Solid and fluent understanding of algorithms and data structures
• Excellent software design, problem-solving and debugging skills
• Demonstrated high ownership in previous projects
• Excellent Communication Skills"

About Company

Our client is in the business of delivering cutting-edge software solutions, hardware systems, and IT services. It lends the right technological edge to governments and businesses. This enables them to achieve their organizational objectives efficiently and effectively to scale their businesses to newer heights.

Minimum Requirements/Qualifications:

• Bachelor’s/Master’s degree in computer science, Computer Engineering or a related field is preferred.

• Must have at least 5 to 7 years of experience in PostgreSQL.

• Sound knowledge of Object-Oriented Programming (OOP) Patterns and Concepts.

• Knowledge & hands-on experience with PostgreSQL, Java, and Spring Framework is a must.

• Additional knowledge of JDBC, Apache TomCat Server & relevant open-source technologies is required.

• Must have experience with Bootstrap CSS, jQuery, etc.

• Basic Understanding of the concepts of MVC (Model-View-Controller) Pattern, JDBC (Java Database

Connectivity), and RESTful web services.

• Experience in handling external and embedded databases.

Roles & Responsibilities

• Maintaining the Database, creating efficient queries, and understanding and improving the current database structure.

• Develop new modules, patches & Updates/upgrades for an existing application (developed in house by the client)

• Analyze user requirements to define business objectives.

• Maintain Java-based applications that can be high-volume and low-latency.

• Identify and resolve any technical issues arising.

• Write well-designed, testable code.

• Conducting software analysis, programming, testing, and debugging.

• Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review.

Join our dynamic team as a Software Quality Assurance Engineer (SWQA) and contribute to ensuring top-quality software development in the automotive industry. If you’re passionate about software quality, process improvements, and driving excellence in software projects, this role is for you!

Key Responsibilities:

• Plan and execute SQA activities in line with project timelines and performance metrics
• Collaborate with stakeholders including software project managers, developers, testers, and process leads
• Conduct thorough reviews of software work products developed in-house and by external suppliers
• Support ECU owners in supplier joint reviews, ensuring quality deliverables
• Monitor, measure, and analyze software quality metrics and track deliverables
• Identify software gaps, defects, and potential risks, prioritizing based on impact
• Drive corrective actions to closure, manage deviations, and ensure quality standards
• Generate detailed quality reports to provide insights on software progress

Secondary Responsibilities:

• Assist in rolling out the Polestar Embedded Software Development Process
• Perform process reviews and internal audits
• Promote continuous improvement within the embedded software development lifecycle

Qualifications:

• Proven experience in software development projects within the automotive industry
• Strong knowledge of quality standards and process models such as:
• Automotive SPICE
• ISO 26262
• ISO 21434
• IATF 16949
• Excellent communication and collaboration skills, with the ability to engage cross-functional teams

If you’re ready to play a critical role in shaping the quality of cutting-edge automotive software, we want to hear from you!

🌟 Apply now and become part of our innovative journey in the automotive sector.

About Plum

We are making health insurance - simple, accessible and affordable. Hundreds of businesses of all sizes from startups to large corporates trust Plum for their employee's health protection.

Healthcare in India is seeing a phenomenal shift. Healthcare cost is seeing an inflation that is three times the general inflation. Treatments of diseases including Covid-19 can wipe out entire household savings. Majority of Indians won't be able to afford a health insurance on their own. As many as 600mn Indians would depend on employer-sponsored insurance.

Enter Plum. Plum is re-imagining the health insurance stack, and accelerating the penetration of health insurance in India to 100%. Plum has forged new underwriting and fraud detection algorithms to enable companies as small as 2 to benefit from a group insurance. The platform enables realtime insurance design & pricing to enable companies to buy insurance in 3-clicks. And offers employees a hassle-free claims experience through an integrated digital process.

Plum is backed by leading global investors including Tiger Global, Sequoia Capital, Tanglin Ventures and Incubate Fund (read more https://www.plumhq.com/blog/plum-series-a-funding">here)

About the role

Having found exceptional product/market fit, we’re in the midst of transitioning from 'start-up' to ‘scale-up’, and looking for a senior frontend engineer to help us scale Plum, and spearhead the frontend of our product.

You will have a direct impact on the customer experience through the design and implementation of new features and functionalities in our product. You'll work as part of a small but rapidly growing high-energy team delivering incredible, creative improvements to our product. You'll be in charge of reviewing the implementation of applications following code standards and style guides. You would analyze and build UI Pattern Libraries (Design Systems, UI Kits, etc.)

• Spec, build, test, and deliver new features while improving the performance and quality of the product.
• Run test-harness to guarantee the structure, integrity, and design of the application.
• Solve complex CSS, HTML, and User Interface compatibility issues across browsers.
• Optimize JavaScript implementations to ensure that code remains performant.
• Implement front-end development workflows: build systems, dependency management, quality checkers (linting), etc.
• Ability to push things over the line, ship awesome features, and delight customers.

• 2+ years of hands-on experience building web applications with JavaScript, HTML5, and CSS.
• Comfortable with Responsive Web Design and Development and weave out beautiful code in React.
• Strong product and design sensibilities and has an obsessive attention to detail.
• Write testable, maintainable code that's easy to understand.
• Understand complex problems and break them down into smaller tasks.
• Strong sense of ownership and integrity demonstrated through clear communication and collaboration.

As a Full Stack Developer, you'll be instrumental in shaping the future of AI assistants for data teams and understanding the intricacies of Large Language Models (LLMs) to optimise their usage across multiple use cases. Utilising Django, you'll architect backend infrastructures optimised for handling data processes and LLM interactions. Your role involves building APIs with the Django Rest Framework. With React, you'll design user-centric interfaces that seamlessly integrate with our AI assistants, ensuring that data teams have an intuitive experience. Working at the forefront of AI revolutions and pushing the boundaries of what AI can achieve in data management and analysis.

Responsibilities:

• Back-end Development: Utilise Django to architect robust back-end infrastructures. Ensure they are tailored for complex data processes and seamless LLM interactions.
• API Design: Craft efficient and scalable APIs using the Django Rest Framework.
• Front-end Development: Transform UI/UX designs into functional web pages using React. Prioritise performance and deliver seamless user experiences.
• AI Integration: Design user interfaces that flawlessly integrate with our LLMs, and AI assistants, aiming to offer data teams an intuitive and efficient interaction.
• Innovation: Stay abreast of AI advancements. Push boundaries and explore new possibilities in data management and analysis using AI.

Requirements:

• Pre-requisite Tech Stack: Python, Django, React, Springboot, CSS, and SQL
• Previous work experience with a start-up or similar setting is preferred
• Having an interest in system architecture design

The role of the Key Account Manager - Sales is to bring new clients to Excellent Publicity through online & offline reach out and the below-mentioned work is carried out:

• Building the pipeline: Build a list of potential clients, reach out to them, fix meetings, gather requirements, share plans and get business. While there is a team to assist, the primary responsibility of pipeline building lies with the Account Manager
• Fixing Meetings: Reach out to the advertisers through cold calls/emails from the pipeline and set up meetings.
• Gather requirement: Use the meetings to gather requirements. In case there is no immediate requirement, maintain a relationship with the potential advertisers for future requirement
• Addressing the client requirements: Work closely with the media managers to address the client queries
• Campaign execution: Execute and monitor the campaigns. Remain the single point of contact for the advertiser in Excellent Publicity
• Maintain PR: Keep putting up efforts to increase business from existing clients.
•  

Other important skills and traits required to succeed in this role and Excellent Publicity, in general:

1. Good at identifying potential SMEs and Startups who can advertise

2. Ability to research and find relevant contacts in these organizations

3. Ability to understand client requirement and pitch relevant solution

4. Strong communication skills

5. Reliable and can work independently with minimum supervision

• Design, architect, and build high-quality scalable systems
• Review system design and architecture, code, and test plans
• Handle technical questions and escalations from clients
• Own projects end-to-end, including gathering requirements, solutioning and designing architecture, developing, testing, deploying, and maintaining systems
• Interact and collaborate with our high-quality technical team across India and the US

Responsibilities:

• Creating content for the company website. For instance, blogs, e-books, product descriptions, and social media.
• Editing and refining current information to make it easier to read.
• To develop original content ideas, collaborate with many departments.
• Continually generating new concepts and working with the team to develop fresh plans of action.
• Work together with other departments to provide a fresh concept for content
• Be prepared to respond to any queries posed by their readers.
• Develop material in accordance with Search Engine Optimization (SEO) criteria and SEO tactics to increase website traffic.
• For the website, conduct research and write interesting, educational SEO content that includes the product, fresh snippets, photographs, videos, short- and long-form essays, etc.

Qualifications:

• Outstanding verbal and written communication abilities.
• Knowledge of effective content tactics for SEO.
• An advantage is knowing digital marketing strategies including SEO, email marketing, and social media.
• Must be capable of carrying out content marketing activities like blogging to promote clients.
• Recognize the industry, and then create content that will help the company fulfill the requirements.
• Define and structure the content development process.