Threat Intelligence Guru

RUloans

Role*: Business Manager – Loan Sales

*Experience*: Prior experience in Loan Sales is mandatory

*CTC*: 10 – 15 LPA

*Location*: PAN India – Travel required

*What we need:*

- Drive loan sales & manage business growth across regions

- Strong network in BFSI/DSA channels

- Target-driven with excellent relationship management skills

Max age 40

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

Senior Software Engineer – SQL Server / T-SQL

Chennai | IIT Madras Research Park | Full-Time

About Novacis Digital

Novacis Digital is a product-first technology company building AI-driven platforms and large-scale data systems. Our products process complex, high-volume data to power real-time analytics and GenAI-driven experiences.

We don’t see SQL as “just a database layer” - we treat it as a core compute engine. If you love writing efficient SQL and solving performance problems, this is the role for you.

What You Will Do

·      Design and build complex T-SQL stored procedures involving Dynamic SQL, along with views, functions, and triggers

·      Implement flexible, metadata-driven query frameworks using sp_executesql and parameterized Dynamic SQL

·      Engineer high-performance, set-based queries using CTEs, window functions, temp tables and table variables

·      Optimize queries using execution plans, statistics and DMVs

·      Refactor inefficient queries and redesign schemas for performance and scalability

·      Solve real-world challenges related to locks, blocking, deadlocks and transaction isolation

·      Collaborate with application engineers to build reliable, high-performance data access layers

What We’re Looking For

We’re looking for true SQL engineers — people who think in execution flow, logic and data behavior rather than just syntax.

You should have:

·      4+ years of deep hands-on experience with Microsoft SQL Server & T-SQL

·      Strong expertise in:

o  Stored Procedures (with Dynamic SQL)

o  Views

o  Functions

o  Triggers

·      Strong experience with:

o  Dynamic SQL best practices and secure execution patterns

o  Indexing strategies and query plan optimization

o  Handling parameter sniffing and plan instability

·      Strong knowledge of:

o  Temp tables vs table variables

o  Cardinality estimation

o  Cost-based optimization concepts

Nice to Have

·      Exposure to GenAI data pipelines or analytical architectures

·      Exposure to Graph, Vector and No SQL Databases

How We Work

·      We write production-grade T-SQL

·      We value performance, clarity, and correctness

·      We invest heavily in query readability and maintainability

·      Engineering quality is non-negotiable

Apply Now

If you enjoy designing complex Dynamic SQL-powered stored procedures and tuning systems at scale, we’d like to talk.

Senior Data Engineer

Pls apply here:

tinyurl [dot] com/ysk8w2eu

About Discovered Labs

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.

High-level overview of our approach:

• Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.
• First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.
• Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.

The Team

We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, Plaid, and Coinbase; developed self-driving car systems at Aurora; and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.

This Role

Own the data infrastructure behind automated reporting, AI visibility monitoring, competitive intelligence, and proactive alerting across a growing multi-tenant client base.

The hard problem is operational complexity, less so petabyte scale volume. Many clients, each with multiple data sources, different schemas, different API rate limits, different failure modes, different freshness requirements. When one breaks, it can't take down everyone else. Fault isolation, graceful degradation, and per-tenant reliability are built in from the start.

This is largely greenfield. You'll be building out monitoring, observability, data quality layers and pipeline orchestration.

You report to the CTO and work closely with product engineers who build the features that consume your data layer. You'll define interfaces and data contracts together. There's no platform team. You own your infrastructure, your CI, and your monitoring.

What You'll Do

• Multi-tenant data infrastructure. Ingestion, validation, and transformation across multiple data sources. Fault isolation, schema variation, and graceful upstream failure handling.
• Third-party API integration. Most of our data comes from external APIs with their own auth flows, rate limits, pagination quirks, and breaking changes. You'll build robust, resilient connectors that handle all of this gracefully across many client accounts.
• Data quality systems. Automated checks on distributions, volumes, null rates, and freshness. Statistical validation, not just schema validation. Bad data doesn't make it downstream.
• Data observability. Freshness monitoring, volume anomaly detection, schema drift detection, lineage tracking, blast radius analysis. You know the difference between "the code ran" and "the data is correct."
• Alerting design. Not just dashboards. Threshold tuning, noise reduction, avoiding alert fatigue. Mean time to detection is a core metric for this role.
• Freshness SLAs. Define them per source, build infrastructure to meet them, alert before they breach.
• Event-driven trigger infrastructure. Surface performance changes, quality regressions, and freshness violations as events for downstream systems.
• Entity data models. Design schemas for client, competitor, and content entities. Own schema evolution and backward compatibility.
• Operational environment. CI/CD, containers, deployment pipelines, credential management. Every deploy passes CI before production.

The Ideal Person for This Role

• A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built data infrastructure people actually rely on.
• An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once.
• An owner. You take responsibility for outcomes, not just tasks. When a pipeline you built breaks at 3am, you fix it and make sure it doesn't break again.
• Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.
• A first-principles thinker. You understand why things work, not just how. You can go five levels deep on schema decisions, validation strategies, and architecture tradeoffs.
• Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.

Requirements

• 4+ years in data engineering, platform engineering, or infrastructure-heavy backend work.
• Python, SQL, pipeline orchestration (Airflow, Dagster, Prefect, or similar).
• Event-driven architectures or real-time data processing.
• Third-party API integration. You've built resilient connectors against external APIs with rate limits, auth flows, pagination, and breaking changes. Not just calling endpoints, but handling the full operational reality.
• Pipeline fundamentals. Idempotent pipelines, backfill strategies, and schema evolution handled gracefully in production.
• Data quality systems in production. Automated checks on distributions, volumes, freshness, null rates. Not a one-off notebook.
• Data observability. Freshness monitoring, anomaly detection, lineage tracking, blast radius analysis.
• Alerting design. Threshold tuning, noise reduction, escalation paths. You've thought about false positives as much as missed detections.
• Own your infrastructure. Containers, CI/CD, deployment pipelines, monitoring, credential management. No platform team to hand off to.
• Multi-tenant or multi-client data systems. Tenant isolation, per-client configuration, and operational overhead at scale.
• APIs or service layers for data exposure. You've built interfaces that other systems consume, not just internal scripts.
• Collaborative. You'll work closely with product engineers to define data contracts and interfaces. You communicate tradeoffs clearly in writing. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Experience with marketing or analytics data (GA4, GSC, SEO tools)
• Prior experience at a fast-moving startup

What's in It for You

• Fully remote position
• Work directly with the CTO on high-impact projects
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology
• Your work will directly impact well-known (10M+ ARR) companies' performance
• Join a fast-growing company at the intersection of AI and marketing

Our Hiring Process

1. Application
2. Take-Home Project
3. Technical Deep Dive
4. Leadership Interview
5. Reference Checks

Pls apply here:

tinyurl [dot] com/ysk8w2eu

Designation: Campus Admin Officer

Department: Admin

Location: Mahape, Navi Mumbai

Experience: 2–4 Years

Employment Type: Full-Time

Industry Preference: IT Services / Corporate Office / Facility Management

🏢 Job Summary

We are looking for a hands-on and dependable Campus Admin Officer to manage Electrical, IT, and Communication systems for our 120-employee corporate office in Mahape, Navi Mumbai. The candidate will be responsible for troubleshooting electrical faults, maintaining desktops and LAN/WiFi networks, and ensuring smooth day-to-day office operations with minimal downtime.

🔧 Key Responsibilities

Electrical Maintenance

• Diagnose and resolve electrical faults.
• Maintain office lighting, fans, and electrical appliances.
• Troubleshoot generator, UPS, and power supply cabling issues.

IT & Network Management

• Maintain desktops and laptops.
• Troubleshoot hardware, printer, and peripheral issues.
• Manage LAN, structured cabling, routers, switches, and WiFi networks.
• Coordinate with IT/electrical vendors for servicing and repairs.
• Maintain inventory of IT assets and spare equipment.

Intercom & Communication Systems

• Maintain and troubleshoot internal intercom systems.
• Coordinate AMC vendors for preventive maintenance.

✅ Required Skills

• 2–4 years of hands-on experience in Electrical & IT maintenance.
• Basic knowledge of modems, routers, switches, LAN, WiFi.
• Experience in office IT support / desktop support.
• Good communication skills (English/Hindi/Marathi).
• Ability to work independently.

🎯 Preferred Candidate Profile

• Diploma/ITI in Electrical / Electronics / Hardware & Networking (preferred).
• Experience handling office infrastructure for 50+ employees.
• Immediate joiners preferred.
• Candidates located in Navi Mumbai / Thane / Mumbai preferred.

Perks and benefits

• Develop test plans alongside product designers and product engineers.
• Drive improvements to test framework architecture and test coverage.
• Drive adoption of best practices in code health, testing, testability, and maintainability (clean code, test pyramid).
• Track test gaps, quality, and productivity metrics. Work with other engineering teams to improve gaps from this data.
• Recommend improvements into overall best practices, design, testability and quality, and productivity.

Requirements

• 8+ years' experience of working in the Quality Engineering field
• 3+ Years of experience with UI & API test automation tools, (Selenium and etc.)
• 4+ years of experience in leading a team
• Proficient in TypeScript, Go, or a related programming language
• Experience with Continuous Integration systems (e.g., GitLab)
• Experience with AWS, Docker, and Kubernetes

About You

• A+ character. We are team-first here at the company.
• A hard-working mentality. It’s early and there is still a lot to build.
• An excellent communicator.
• A fun attitude. Life’s too short. We can have fun while we work hard on cool things.
• Smarts. We need people that are smart enough to make decisions on their own and also smart enough to know when they need input from others.

Perks & Benefits

• Competitive salary and benefits
• Group Medical insurance
• Life and long-term disability insurance
• Collaborative workspace
• The opportunity to join the fastest growing start-up alongside a team of motivated and driven individuals

TUBR is working on Innovating Crowd Management on public transport. We are building the state of the art Time series Machine Learning Models to predict the crowds in public transport.

Job Description

We are looking for a React Native developer on a Full time contract basis, who is interested in building performant mobile app on both the iOS and Android platforms aligned with strong Agile Development methodologies. You will be responsible for building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities

- Build pixel-perfect, buttery smooth UIs across both mobile platforms

- Leverage APIs for deep integrations with both platforms.

- Diagnose and fix bugs and performance bottlenecks for performance that feels native

- Reach out to the open source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things

- Maintain code and write automated tests to ensure the product is of the highest quality

Skills

- Work as part of a small team to build React Native iOS / Android application

- 2+ years of experience in React Native development.

- Firm grasp of the JavaScript language and its nuances, including ES6+ syntax

- Ability to write well-documented, clean Javascript code

- Rock solid at working with third-party dependencies and debugging dependency conflicts

- Familiarity with native build tools, like XCode, Gradle, Android Studio

- Understanding of REST APIs, the document request model, and offline storage

- Experience with automated testing suites.

- Bachelor’s degree in Computer Science or related fields

- We are looking for a someone who is happy to work in a team or solo but must be confident working independently. (The team will be available to support but pairing won’t always be an option)