PreSales Engineer_HVAC

We are looking for a skilled and motivated Network Engineer to design, implement, maintain, and support our growing network infrastructure. This role is suitable for freshers as well as experienced professionals who are eager to build expertise in networking, security, and infrastructure management.

Key Responsibilities:

1. Install, configure, and maintain network hardware such as routers, switches, and firewalls.

2. Monitor network performance and ensure system availability and reliability.

3. Troubleshoot network issues and perform root cause analysis.

4. Configure and manage LAN, WAN, VPN, and wireless networks.

5. Implement network security measures and firewall policies.

6. Perform regular network maintenance and upgrades.

7. Document network configurations and procedures.

8. Collaborate with IT and system administration teams.

Required Skills:

1. Basic understanding of networking concepts (TCP/IP, DNS, DHCP).

2. Knowledge of routers, switches, and firewall configuration.

3. Understanding of LAN, WAN, and VPN technologies.

4. Familiarity with network monitoring tools.

5. Basic knowledge of network security principles.

6. Understanding of OSI model and networking protocols.

7. Strong troubleshooting and analytical skills.

8. Good communication and teamwork abilities.

Preferred Skills (Good to Have):

1. Knowledge of Cisco technologies (CCNA level understanding).

2. Experience with firewall devices (Fortinet / Palo Alto / Cisco).

3. Basic knowledge of cloud networking (AWS / Azure).

4. Experience with network automation tools (optional).

Eligibility:

1. B.E / B.Tech / B.Sc / M.Tech / MCA or related field.

2. Freshers with strong networking interest are welcome.

3. 0–8 years of relevant experience.

Location: Remote / Chennai

Employment Type: Full-Time  

Apply here: https://connectsblue.com/jobs/742/network-engineer-at-bluepms-software-solutions-pvt-ltd

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

🏥 Now Hiring: AI Agent Developer (Healthcare – No-Code Automation)

📍 Remote | 3 Openings | Immediate Joiners | Project-Based & Retainer Opportunities

We’re building the future of healthcare automation — and we need AI specialists who can turn hospital operations into smart, automated systems using no-code tools and AI agents. If you’ve built AI-powered workflows and want to solve real-world hospital challenges, this is your moment.

🔹 What You’ll Do

As an AI Agent Developer, you’ll work on hospital-focused automation projects including:

• Patient appointment booking (via website & WhatsApp)
• Automated reminders, follow-ups, and notifications
• Chatbots & voice bots to handle patient queries
• Digital registration & form filling assistance
• Updating & maintaining Electronic Medical Records (EMR)
• Medicine reminders & post-visit engagement
• Supporting doctors with clinical alerts & treatment guidelines
• Managing patient queues, walk-ins, and calendar sync
• Coordinating teleconsultations & virtual calls
• Collecting feedback & generating monthly reports
• Handling billing, invoicing, and HIPAA-compliant data flows

🧠 Who We’re Looking For

✅ Strong hands-on experience with no-code automation tools (Make.com, Zapier, n8n, Pabbly, etc.)

✅ Built and deployed at least 4–5 AI automation projects (2+ in healthcare or service-based domains preferred)

✅ Worked with LLM APIs (OpenAI GPT-4, Claude, Gemini)

✅ Skilled in prompt engineering, API integrations, and logical workflow design

✅ Able to present portfolio links, videos, or workflow samples

✅ Available immediately and can work independently in a remote setup

💻 Tech & Tools You Should Know

• No-code platforms: Zapier, Make.com, n8n, Flowise, Pipedream
• LLM APIs: OpenAI, Claude, Gemini
• Data tools: Google Sheets, Airtable, Notion
• Integration: REST APIs, webhooks, JSON
• Bonus: LangChain, vector databases, self-hosted AI agent setups

💸 Compensation & Structure

• Per Project Payouts: ₹8,000 – ₹20,000 (based on complexity)
• Completion Bonus after 5 successful healthcare projects

📩 To Apply

Please send:

• Resume
• Portfolio (at least 1 working AI agent or workflow – video/screenshots/links)
• List of tools/platforms you’ve worked with
• Your availability for a short workflow test/demo

🌟 Why Join Us?

You’ll work on meaningful, high-impact projects that improve patient care and simplify hospital operations, all while shaping the future of AI-powered healthcare automation. Flexible, remote, real-world experience — and long-term potential if you’re ready to grow with us.

HYPERION EPM, HYPERION FINANCIAL REPORTING, oracle epm, EPBCS, ODI, EPM, FCCS, DMEE, EPMA, SQL, PYTHON SCRIPTING, MAXL, MIGRATION, OPTIMIZATION, DRM, XMLA, smart view, IMPLEMENTATION

Roles and Responsibilities

• Build talent pipelines for current and future job openings
• Lead all sourcing strategies
• Manage our external partnerships with colleges, job boards and HR software vendors
• Implement online and offline employer branding activities
• Prepare and review our annual recruitment budget
• Oversee all stages of candidate experience (including application, interviews and communication)
• Forecast hiring needs based on business growth plans
• Manage, train and evaluate our team of recruiters
• Participate in and host recruitment events to drive awareness of our company
• Develop a network of potential future hires (e.g. past applicants and referred candidates)
• Measure key recruitment metrics, like source of hire and time-to-hire

Desired Candidate Profile

• Proven work experience as a Talent Acquisition Specialist or similar role
• Demonstrable experience managing full-cycle recruiting and employer branding initiatives
• Solid understanding of sourcing techniques and tools (e.g. social networks)
• Hands-on experience with Applicant Tracking Systems (ATSs) and HR databases
• Good team-management abilities
• Excellent communication skills with the ability to foster long-term relationships (with internal teams, external partners and candidates)
• BSc/MSc in Human Resources Management or relevant field

Resource: Content Manager

Location: Mumbai(On-site)

Qualification: BA/MA(English)/Degree in Mass Communication/Bachelor's degree in Engineering

No. of years of Experience: Min. 2 years experience in Website maintenance and Content Management

Certification / Knowledge :

• Should be proficient in all of the following languages : English, Hindi and Marathi
• Exposure to content management for Government websites preferred.

Roles & Responsibilities:

1. Interacting with Japanese Customers / Targeted Audience
2. Fixing the appointments to the Managers/ Business Heads
3. Prospecting the Right audience for our Business
4. Handle the calls when Manager is not available

Desired Profile :

1. Proficiency in Japanese Language
2. Experience in Lead Generation is a Plus
3. Able to take the calls confidently
4. Experience in Fixing Appointments and Maintaining the Calendars