Hardware Asset Management-HAM

About the job

Must-Have Skills

• 5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
• Strong SQL — advanced query optimization, indexing, partitioning strategies
• Data modeling — dimensional modeling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design
• Cloud data platforms — hands-on with AWS (Redshift, S3, Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
• Big data ecosystems — Spark, Hadoop, or Kafka for large-scale/streaming data
• Data warehousing — Snowflake, Redshift, BigQuery, or Databricks
• ETL/ELT pipeline design — Airflow, dbt, Fivetran, or similar orchestration tools
• Data governance & security — data lineage, access control, compliance (GDPR/SOC2), master data management

Strongly Preferred

• Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows)
• Programming — Python or Scala for pipeline development
• API/microservices architecture exposure — understanding how data systems integrate with application layers
• Experience with data mesh / data lake house architectures
• Prior experience presenting architecture decisions to leadership/stakeholders

Hello,

My name is Nagendra P. from HRS Navigation. We are seeking an experienced C++/Qt Tech Lead to lead the design and delivery of high-performance, cross-platform software solutions. In this role, you will own technical architecture, drive engineering best practices, and mentor the team while collaborating closely with product and stakeholder groups.

Title: Lead Developer

Location: Bengaluru

Qualifications: Bachelor’s or master's degree in computer engineering or computer science.

Experience 10+ years of experience.

Type: Full-time

Skills Required

• Bachelor’s or master's degree in computer science, engineering, or a related field.
• 10+ years of professional experience in C++ development, including ownership of complex modules or systems.
• • Deep expertise in the Qt framework (Qt Widgets) for building robust, cross-platform desktop applications.
•  Strong understanding of OOP principles, design patterns, and system design; able to guide design reviews and trade-off decisions.
•  Proven experience building multi-threaded, performance-critical applications with a focus on concurrency and stability.
•  Strong knowledge of modern C++ and standard libraries; comfortable with writing clean, testable, and maintainable code.
•  Hands-on expertise in debugging, profiling, and performance optimization using appropriate tools and techniques.
•  Strong problem-solving skills with the ability to take ownership in ambiguous situations and deliver results.
•  Excellent communication and leadership skills; able to align teams and stakeholders on technical direction.

Tasks & Activities

• Proven, real-world experience architecting or leading healthcare applications, medical imaging, and graphics computing platforms.
•  Good understanding of CI/CD concepts, build and release automation, advanced computing, and core data structures.
•  Experience working in Agile/Scrum development environments. (must)
•  Strong working knowledge of version control systems such as Git (SVN is a plus).
•  Demonstrated experience designing systems for imaging datasets and other performance-critical workflows.
•  Experience applying AI/ML to medical or dental image analysis.
•  Exposure to assisted or automated diagnostic systems is a plus. Training staff / Onsite clients on software use.
•  Incorporate new technologies into the products.
•  Create technical and regulatory documents for the project.

🧠 Job Description: Senior Java Developer (8+ Years Experience)

Location: Mumbai, India

Employment Type: Full-time, Hybrid mode of working

Company: Wissen Technology

Website: www.wissen.com

🚀 About Wissen Technology

Wissen Technology is a specialized technology consulting firm delivering cutting-edge solutions to global leaders in Banking & Finance, Telecom, and Healthcare. Established in 2015 and part of the Wissen Group (founded in 2000), Wissen has scaled rapidly with impressive impact and recognition.

• 🌍 Offices in US, UK, India, Australia, Mexico, and Canada
• 👥 1700+ Wissen Technology professionals; part of a 4500-strong Wissen Group
• 🏆 Great Place to Work® Certified
• 🧠 Featured as a Top 20 AI/ML Vendor (CIO Insider, 2020)
• 📈 Achieved 400% revenue growth in 5 years (with zero external funding)
• 💼 Delivered $1B+ worth of projects to 50+ Fortune 500 companies

Learn more about our work and thought leadership:

📄 Articles by Wissen | 💼 LinkedIn

About the Role

We are seeking an experienced Senior Java Developer with 8+ years of hands-on expertise in building scalable, high-performance applications. The ideal candidate will have strong fundamentals in Java, OOPS, Multithreading, Spring concepts, and SQL, and will play a key role in designing, developing, and optimizing enterprise-grade solutions.

Key Responsibilities

• Design, develop, and maintain complex applications using Core Java and Spring frameworks
• Apply advanced Object-Oriented Programming (OOPS) principles to deliver clean, modular, and reusable code
• Implement and optimize multithreaded applications for high-performance systems
• Work with SQL databases for efficient data modeling, query optimization, and integration
• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions
• Conduct code reviews, troubleshoot issues, and ensure adherence to best practices
• Mentor junior developers and contribute to technical knowledge sharing within the team
• Ensure application scalability, performance tuning, and security compliance

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field
• 8+ years of professional experience in Java development
• Strong expertise in Core Java, OOPS, and Multithreading
• Hands-on experience with Spring concepts (Spring Core, Spring MVC, Spring Boot preferred)
• Proficiency in SQL and database design (MySQL, Oracle, PostgreSQL, etc.)
• Solid understanding of software development life cycle (SDLC) and Agile methodologies
• Strong analytical, problem-solving, and communication skills

🌟 Why Wissen?

Join a company that combines start-up agility with enterprise stability. Work alongside some of the brightest minds from institutions like MIT, Wharton, IITs, IIMs, and NITs. Be part of mission-critical projects for Fortune 500 giants, and grow in a culture that invests in your future.

Apply here https://tinyurl [dot] com/3tz4tkht

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 Agency OS

We're building the first agency OS: a system where the agency's work is the software, enabling clients to gain an unfair advantage.

As Karpathy puts it, Software 3.0 automates what humans can verify. Verifiability, not capability, decides which work can safely be handed over. So every eval we write expands the set of work we can trust an agent with, and the harness isn't overhead around the product, it's what makes the product possible. Dex Horthy covers the operational half: the agents that survive contact with customers are well-engineered software with human judgement placed deliberately, and disciplined loops beat vibes.

What that looks like here: expert orchestrators, not operators. One strategist supervising a fleet of agents running real client workflows at scale, with the system surfacing what genuinely needs a human decision and staying quiet about what doesn't. Feedback loops everywhere. Every correction an expert makes becomes an eval case, and the swarm is better the next cycle.

The Team

You'll join the Automations team at Discovered Labs. We build the agent swarm: a growing fleet of agents and workflows that do real client work end to end, and the engineering that makes them trustworthy enough to let loose on it.

Your mandate is both halves of that. Expand what the swarm can do, and prove that what it does is right. That means applying hardcore engineering to a famously slippery problem: making non-deterministic systems reliable, measurable and provable. Evals that fail a build. Traces that explain a decision. Guardrails that hold when a model doesn't. Agents that know what they don't know and say so.

You'll work alongside the Automations lead, and with our AI & Data team who own the platform and tooling underneath you. You won't be building orchestration from scratch or fighting for infrastructure. It's there, and it's good. Your job is to take it the last mile.

Every agent you make provable is an agent we can put in front of a client. That's the whole game, and the ceiling on how fast this company grows.

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, shipped AI code review at CodeRabbit, built at Amazon, 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

You'll join the Automations team, and your job is to productionise what we've built.

We have live 24/7 agents, data pipelines and workflow infrastructure. What you’ll be doing is helping us get the stack running robustly, reliably and at scale.

That means evals that catch regressions before they ship, observability that explains why an agent did what it did, provenance that traces every claim back to its source, and interfaces that let a non-engineer SEO strategist run and review the work. You'll build the harnesses and eval suites that gate agent changes in CI, the lineage and step-trace tooling that makes agent reasoning inspectable, and the surfaces the team actually uses. Then you'll close the loop: instrument the output, feed the signal back, and make the agents measurably better every cycle.

You'll also extend what agents can reach. Today they work over APIs and our own data. Next they operate real websites along withsession handling, and navigating interfaces that were never designed for machines.

The hard problem is reliability and legibility. An agent that's right 80% of the time and can't tell you which 80% is worthless. An agent that's right 95% of the time, shows its working, and flags its own uncertainty is a product.

You report to the CTO and work alongside the Automations lead, with our AI & Data team owning the platform beneath you. You own your evals, your CI, and your monitoring.

What You'll Do

Agent eval harnesses. Golden suites, deterministic checks, and online scoring that gate every agent change in CI. A regression should fail a build, not a client report.

Agent observability. Step traces, token and cost accounting, run-level SLOs, and failure taxonomies. You'll know the difference between "the agent ran" and "the agent was right."

Data lineage and provenance. Every claim an agent makes should be traceable to its source. Which inputs, which tool calls, which reasoning steps produced this output.

End-to-end agents with human review. Agents that complete real work start to finish, with a curated review surface so an expert can approve, correct, or reject, and so that correction becomes training signal.

Interfaces for non-engineers. Dashboards and controls that let the SEO team run, inspect and trust agent work without asking an engineer.

Expanding what agents can do. Agents that open pull requests against real repositories, authenticate through OAuth, and operate real sites and CMSs through the browser. Every new capability is a new class of work the swarm can take on.

Closing the loop. Turn signals we already collect, such as AI perception and citation data, into concrete client value: strategy recommendations, prioritised actions, and measurable outcomes.

Algorithms and scoring models. Not everything should be a prompt. You'll build and tune the scoring systems behind what we recommend: internal linking and semantic relevance scoring, Reddit opportunity and thread scoring, content and citation quality. These are ranking and classification problems with real feedback data behind them, and where a model beats a prompt, you build the model.

Shared, composable modules. Reusable capability blocks that both agents and workflows compose, so an improvement lands everywhere at once instead of being reimplemented per agent.

Scaling across clients. Take a workflow that works for one client and make it run reliably for many, with per-client configuration, isolation, and failure that stays contained.

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 AI systems 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 in a demo.

An owner. You take responsibility for outcomes, not just tasks. When an agent silently produces bad output, you catch it, fix it, and build the eval that stops it recurring.

Maniacal about detail. This is the one that matters most here. AI has made it trivially cheap to produce a large volume of plausible-looking work, and most of that work is slop. We are building the opposite: output that holds up when a client reads it line by line. If you'd rather ship one thing that is provably right than ten that are probably fine, this is your team. If you cannon volume and let the reviewer sort it out, it isn't.

Sceptical of your own output. You assume the model is wrong until measured. You've been burned by a demo that worked and a production run that didn't, and you build accordingly.

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 eval design, prompt architecture, and where to put the human in the loop.

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

5+ years in software engineering, with meaningful recent time on LLM-backed or ML-backed production systems, including 2+ owning a production system end to end.

Python, React, Typescript and strong systems fundamentals. You write production services, not notebooks.

LLM application engineering in production. Agents, tool use, structured outputs, retrieval, prompt architecture. You've shipped something real that used them and stayed up.

Evaluation systems. You've built eval suites for non-deterministic systems: golden datasets, regression gates, offline and online scoring. You've thought hard about what "correct" means when there are many correct answers.

Observability for AI systems. Tracing, run inspection, cost and token accounting. Langfuse, LangSmith, Braintrust, OpenTelemetry or equivalent.

Debugging non-determinism. You can diagnose why an agent failed on run 47 of 100 and turn that into a permanent check.

Pipeline orchestration. Airflow, Dagster, Temporal or similar. Retries, idempotency, partial failure, resumption.

Third-party API integration. Auth flows, rate limits, pagination, breaking changes. Not just calling endpoints, but handling the full operational reality.

Own your infrastructure. Containers, CI/CD, deployment, monitoring, credential management. No platform team to hand off to.

Product sense for expert users. You've built tooling that domain experts, not engineers, use daily. You know that an unexplained AI output is an unusable one.

Collaborative. You'll define contracts with the engineers who own the infra beneath you. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Browser automation or authenticated web agents (Playwright, Puppeteer, computer-use models)
• Applied ML: ranking, scoring, classification, or recommendation systems in production
• Python, React, Typescript
• Terraform, Kubernetes
• 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. Technical Deep Dive
3. Reference Checks

Apply here https://tinyurl [dot] com/3tz4tkht

•      1–3 years in content marketing, SEO, or digital marketing

•      Strong English writing — you can write 2,000 words that don’t read like AI filler

•      SEO fundamentals: keyword research, on-page, Google Search Console

•      Basic paid ads experience (Google and/or LinkedIn)

•      Self-directed — you manage your own execution once given direction

Bonus Points

•      SaaS or e-commerce tech marketing experience

•      Know what sellers on Amazon/eBay actually complain about

•      Ahrefs, SEMrush, HubSpot experience

•      Can make a decent social graphic in Canva

Position description:

• Manage Network admin operations
• Responsible for Configuration and installation of various network devices and services (e.g. routers, switches, load balancers (Radware), firewalls (Juniper, Fortinet, Cyberoam), network access control
• Ensure network maintenance and system upgrades
• Accountable for – Network Performance and ensure system availability and reliability
• Work within established configuration and change management policies to ensure awareness, approval, and success of changes made to the network infrastructure
• Proactive forecasting of Network capacity and utilization.
• Would handle issues like Production outages.
• Would handle incident and projects
• Good problem-solving skills
• Team mentoring and timely project delivery.

Primary Responsibilities:

• To ensure availability and uptime of On-premise and cloud network

Reporting Team

• Reporting Designation: Head - Site Reliability Engineering (ABL_SS_362)
• Reporting Department: Site Reliability Engineering (24777)

Required Skills:

• Well versed with network architecture and complex network design
• Well versed with firewalls, UTM features, IDS/IPS, WAF (Web Application Firewall), SSL Offloading
• Good hands-on with Layer 2 and Layer 3 topologies
• The key focus in Enforcing policy and regulatory compliance by maintaining the organization firewall infrastructure

About Company:

Headquartered in Houston, Texas, USA, this product-based company is the FinTech leader in B2B Industry’s (AI) Artificial Intelligence-powered Software suite of products in the Order-to-Cash and Treasury Management space.

With close to 2000 plus employees globally, this product-based company preferred choice of leading Fortune 1000 companies, including Adidas, Danone, Starbucks, 3M and Sony, to name a few. 950+ Transformation Projects, 6 continents and 45 countries and many more adding up year on year.

Skills

Experience Range: 3 to 10 Years
Notice Period: Immediate to max 1 month.

Role: Senior Software Engineer – the final role will depend on candidate’s experience and credentials

Education: BE/B. Tech/MCA/M.Sc./MTech

Technology Stack: Java, Struts, Hibernate, Spring, MySQL, ExtJS, Elastic Search, AWS Infra/any cloud

Location: Hyderabad

Please share your profiles only if you can join in 1 month.

A Web Developer must have experience in the planning and the delivery of web applications across multiple platforms.

• Writing efficient code
• Creating websites/a website using standard HTML/CSS practices
• Working closely with webdesigners and programmers to produce the website
• Constant communication with other colleagues in the business to develop and  deploy their content – and ensuring there is a clear establishment of what can be created within what timeframe
• Researching different software programs, maintaining software documentation
• Implementing contingency plans in case the website goes down
• Maintaining and expanding/enhancing the website once built
• Managing a team might also be part of the job role
•  

Job qualifications and requirements

• HTML5/XHTML, CSS, JavaScript
• Server architecture
• Experience with server-side frameworks such as python/ ruby/php/Java/ ASP/ http://asp.net/">ASP.NET
• Experience with database systems such as SQL and Oracle
• AWS or BitBucket exp
• PHP, Laravel,(OpenCart, Prestshop, Magento -- Optional ), MY sql, Mongo DB,Node Js
• Should be able to write Rest API's