Data Engineer

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

What you will be doing:

1. Enable growth:

• Create a design that effectively communicates the intent or the purpose of the collateral in interesting

ways.

• Convert creative briefs into compelling design for our target audience to enable growth.

• Comfortably manage multiple projects simultaneously with the best turnaround time.

• Work closely with the Design team and Marketing team to achieve the best results.

Internal

2. Develop Agile Design:

• Adapt to Brand Guidelines and design collaterals in an efficient way.

• Minimize monotony and efficiently work on value-driven design projects.

• Conduct multiple iterations based on the team feedback and Brand Communication.

• Contribute to Internal Communications, Sales, Social, and Brand communication seamlessly.

3. Be Curious & Creative:

• Continuously improve the existing designs with a growth and experimentation mindset.

• Contribute creatively to social media Posts, Interactions, and responses.

• Stay ahead in design thinking by actively learning and researching.

• Develop the brand repository, which is an inspiration for Layout, composition, illustrations, graphics, etc.

What you need to bring:

• 2-4 years of experience in Graphic designing or a similar role.

• One should be highly creative and have an impressive portfolio of design projects.

• Proven experience with Adobe Suite- proficiency in Adobe Illustrator, InDesign, Photoshop.

• Team spirit: effective communication skills to collaborate with various stakeholders.

• Must have good written and verbal communication skills with the ability to seamlessly coordinate with

external clients.

• Great at managing time with multi-tasking ability.

• Any graduate or non-graduate with relevant field experience is welcomed into the family.

Dear ,

I came across your profile and am impressed with your background. I wanted to reach out regarding a Salesforce QA Analyst role. Based on your profile, I think you would be a great fit! If you are interested in hearing more, I would love to connect and give you more information.

Position: Salesforce QA Analyst

Location: Hyderabad, Telangana, India

Job Type: Permanent (full-time)

Company Overview:

About Wallero:

We are a Seattle-based company specializing in product engineering, software development, and technology services. With offices in the U.S., Canada, Bulgaria, and India (specifically, Manjeera Trinity Corporate, JNTU-Hitech City Road, adjacent to LULU Mall in Hyderabad), we provide comprehensive solutions to our global clientele.

As a Microsoft Gold partner company, Wallero is committed to delivering exceptional services and innovative solutions in the technology space. For a detailed overview of our company, please visit: Wallero About Us

Wallero Culture:

At Wallero, we foster a vibrant and inclusive culture that values collaboration, innovation, and professional growth. We believe in creating an environment where every team member can thrive and contribute meaningfully to our projects and initiatives. Explore more about our culture and career opportunities at: Wallero Careers

Job Description:

We are seeking a detail-oriented and experienced Salesforce QA Analyst with a background in Business Analysis (nice to have) to join our dynamic team. The ideal candidate will possess strong expertise in Salesforce testing, coupled with an analytical mindset to support business requirements and ensure high-quality solutions. Experience in the Healthcare Insurance domain is highly desirable, and familiarity with Majesco products or platforms is a plus.

Key Responsibilities:

• Test Plan Design and Execution: Develop and execute comprehensive test plans and test cases for Salesforce applications, covering both functional accuracy and integration performance.
• Integration Testing with 3rd Party Systems: Plan, design, and execute integration testing strategies for Salesforce applications, ensuring seamless interaction with external systems, including healthcare insurance platforms and other 3rd party tools.
• Data Validation and Integrity Testing: Conduct data validation and testing across various Salesforce modules, verifying data integrity, compliance, and correct data flow between integrated systems.
• Healthcare Insurance Domain Expertise: Apply knowledge of Healthcare Insurance standards to identify business-critical integration scenarios, ensuring QA processes align with industry standards and regulatory requirements.
• Requirement Gathering and QA Input: Participate in requirement gathering sessions, providing valuable QA and integration testing insights to help shape project deliverables and ensure testability of integrated workflows.
• Collaboration with Stakeholders, Defect Management etc are must.

Qualifications:

• Proven experience in Salesforce Quality Assurance, including hands-on testing of Salesforce features and integrations.
• Exposure to Business Analysis methodologies, with the ability to translate business needs into technical requirements.
• Prior experience or familiarity with the Healthcare Insurance domain is highly desirable.
• Ability to work independently and as part of a team in a fast-paced environment.
• Familiarity with testing tools and methodologies, including manual and automated testing techniques.

Preferred Skills:

• Certification in Salesforce QA or Business Analysis.
• Experience with Agile/Scrum methodologies.

Why Wallero?

·      Founded by technologists from Microsoft, Wallero has established a strong reputation for building amazing products, applications and cloud solutions for enterprises and municipalities in the US and Worldwide

·      At Wallero, products and solutions are developed for Enterprises who demand the industry’s best in cutting-edge technologies. Whether it’s Internet of Things, Custom Mobile Apps, or Public Cloud, your career at Wallero will enable you to have hands-on experience in delivering customer delight while enhancing your career growth by working with the latest and best in technology.                                                                                                                                                                                      

·      Our culture encourages initiative and growth while promoting the ability to take on new opportunities and working on new technology.

·      Wallero’ s culture is one of collaboration and teamwork – always encouraging individual and team contributions.

·      Employees work in a respectful environment and can work on the projects that align with their career and technology interests.

If you believe you have the skills and experience necessary for this role and are excited about contributing to our team, we would love to hear from you.

Company Name: Petpooja!

Location: Ahmedabad

Designation: DevOps Engineer

Experience: Between 2 to 7 Years

Candidates from Ahmedabad will be preferred

Job Location: Ahmedabad

Job Responsibilities: - -

• Planned, implement, and maintain the software development infrastructure.
• Introduce and oversee software development automation across cloud providers like AWS and Azure
• Help develop, manage, and monitor continuous integration and delivery systems
• Collaborate with software developers, QA specialists, and other team members to ensure the timely and successful delivery of new software releases
• Contribute to software design and development, including code review and feedback
• Assist with troubleshooting and problem-solving when issues arise
• Keep up with the latest industry trends and best practices while ensuring the company meets configuration requirements
• Participate in team improvement initiatives
• Help create and maintain internal documentation using Git or other similar applications
• Provide on-call support as needed

Qualification Required:

1. You should have Experience handling various services on the AWS cloud.

2. Previous experience as a Site reliability engineer would be an advantage.

3. You will be well versed with various commands and hands-on with Linux, Ubuntu administration, and other aspects of the Software development team requirement.

4. At least 2 to 7 years of experience with managing AWS Services such as Auto Scaling, Route 53, and various other internal networks.

5. Would recommend if having an AWS Certification.

We are Hiring! 

About Us:

Gipfel and Schnell Consulting Pvt Ltd was established in 2009. Our journey began with a clear purpose; to leverage our extensive experience in the IT industry and bridge the gap between Companies and highly-skilled Talent. With this purpose as our driving force, we started with a specific focus on Talent Acquisition and IT Consulting. Our accomplishments in these fields spurred us on and, after three successful years, we added a strategic HR Practice arm to our list of competencies.

So far, we have successfully placed over 5000 candidates in various knowledge roles and executed over 50 turn-key projects in the space of HR Consulting & Advisory Services.

We have also propelled our success by expanding our core team to include industry experts who provide valuable insights and contribute to specific focus areas.

The current opportunity lies with our Talent Acquisition (TA) Vertical and we are looking to add to our current team of 40 members.

What’s in it for you – 

• Salary above par with market standards
• Focused Training & Workshops on Recruitment Processes, Best Practices and Technology Stacks
• Exceptional Incentive Structure
• Additional Performance Bonuses, Reward and Recognition Programs
• We are a flexible organization that works 5 days a week focused on results
• Medical and Accidental Insurance Plans for self and family (conditions apply)
• Education and/ or Experience are not a selection criteria

What does it require from you –

• Understanding the Client Requirements and ensuring a steady pipeline of qualified candidates
• Including sourcing, screening and scheduling candidates for interviews
• Strong Communication Skills - The ability to communicate effectively is a core skill required to be a successful recruiter
• Quick Learner - Ability to quickly use and understand the various tools and, processes that ensure a high level of performance and customer satisfaction
• Someone who does not shy away from a challenge and sees an opportunity to grow in every scenario
• Curiosity - Towards Technology, Organizations and the Diverse Industries in today’s rapidly changing business world
• Comfortable communicating in English
• Proficiency in using MS Office suite (MS Word, MS Excel, etc.) is a significant advantage

If you believe the above fits your personality, capabilities and, aspiration, we would love to have a chat with you.

About Company: Applicate IT Solutions Pvt Ltd

Applicate leads the use of cutting-edge technology including Artificial Intelligence in the domain of Sales.

Applicate has created the first AI Sales Assistant, and named it ‘Sellina’. With Artificial Intelligence, ‘Sellina’ can simultaneously Assist, Supervise and Train 1000s of salespeople and channel partners across an organization & assist them in driving everyday sales!

Applicate Is already working with many top Global and Indian brands like Bacardi, Diageo, Shell, ITC, Kelloggs, Britannia, Perfetti, Bauli, Organic India, Whirlpool, Grohe, Akzonobel, Allen Solly, Louis Philippe, Van Heusen, Arrow, U.S. Polo, Mars and other top brands.

Are you resilient? Can you smile in the face of adversity and talk to anyone? Do you have convincing power? If so, You might be ready for a job as an inside sales representative

We are looking for Inside Sales Manager who will be responsible for business lead generation by emailing, cold calling and build relationships with existing and prospective clients in order to garner their interest and convert them into qualified leads.

As Inside Sales Manager at Applicate, you’ll be responsible for generating new prospects by interacting with target customer.

• Generating new leads & Meeting Sales goals by cold calling, email marketing etc.
• Develops new accounts by researching and identifying potential leads, soliciting new business, building connections.
• Diligent follow-ups with inbound leads supported by subsequent email communications
• Route qualified leads to outside sales team by initiating appointments
• Achieve quarterly and annual sales targets
• Maintain strong MIS of all leads and accounts
• Have a strong eye for research and ability to scout for new prospects, identify the key players in an industry and gather interest
• Keeps product knowledge up to date by studying item descriptions and participating in ongoing training
• Accepts ownership for maintaining and expanding sales and accomplishing all assigned tasks

• Min 1 years of experience in Similar Role and domain.
• Excellent presentation and communication skills, both written and verbal as well excellent listening skills too.
• Bachelor’s Degree in sales or business, information technology, or related field (MBA preferred)
• Good hands on in excel (Mail merge, data entry etc.) and other office products.
• A self-starter. A tenacious individual that is not afraid of taking new initiatives and sometimes rejection.
• Talking & Meeting is second nature for you. Your day will consist of high volume calling/ meeting/ e-mailing.
• Strong understanding of sales cycle
• Strong secondary/internet research skills
• Knowledge of lead generation, nurturing and converting a potential lead to appointments

Key Responsibilities

• Primarily responsible for the design, development and testing of LTE features for small cell system being developed by Mavenir
• Software development (code & test) of their modules with no supervision. Ability to do high level design and review low-level design/code.
• Accurate estimation of their work.
• Participate in architecture discussions.
• Adherence to development process and quality metrics.

Job Requirements

• Good understanding of 5G,  LTE and/or UMTS standards.
• Knowledge of 3GPP NR, EUTRAN procedures.
• Knowledge on any of the protocols like RRC, MAC, RLC, LTE/NR L3/L2 protocol stacks.
• Knowledge of RRM, Tr069 interface, NETCONF, YANG.
• Experience of developing UNIX/Linux applications.
• Excellent knowledge of C, data structures and operating systems.
• Knowledge of Network virtualisation concepts will be a plus.
• Experience of any of the following would also be an advantage: IP Networks and Protocols, SCTP, MTP3, M3UA, SS7, SCCP, HNBAP, RUA, RANAP, S1AP, GTP
• Good knowledge of any of version control system like SVN, MKS, clearcase.
• Good team player with knowledge of Agile methodology will be a plus

1.      Prepare Test Cases

2.      Conduct self, peer review

3.      Update test cases after reviewing the comments

4.      Conduct testing in the required environments

5.      Record Test observations

6.      Log Defects

7.      Verify defect fixes

8.      Provide status to Test Lead.

9.      Knowlegde of   Java or .Net