Business Development Executive

We are looking for enthusiastic freshers to join our Technical Voice Support team. The role involves providing technical assistance to customers over phone calls, troubleshooting issues, and ensuring high customer satisfaction.

Roles & Responsibilities

• Handle inbound/outbound voice calls from customers
• Provide technical support for software, hardware, networking, or application-related issues
• Diagnose and troubleshoot problems using standard procedures
• Guide customers step-by-step to resolve technical issues
• Document customer interactions, issues, and resolutions in the system
• Escalate complex issues to senior technical teams when required
• Maintain professional communication and service quality
• Meet performance metrics such as call quality, resolution time, and customer satisfaction

Eligibility / Requirement

• Experience: Fresher (0–1 year experience acceptable)
• Basic knowledge of:
• Computer fundamentals
• Operating systems (Windows/macOS basics)
• Internet, email, browsers, and networking basics
• Good English communication skills (verbal)
• Willingness to work in shifts / night shifts
• Strong problem-solving and customer-handling skills

Skills Required

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

We are seeking a highly skilled Software Development Engineer in Test (SDET) with a strong foundation in

mobile, API,and web test automation. You will play a pivotal role in ensuring the quality and reliability of our

products by designing,developing, and executing comprehensive test automation frameworks.

Required Skills:

● Strong programming skills in at least one language (Java, Python, JavaScript, etc.).

● Experience with mobile test automation frameworks (Appium, Espresso, XCTest).

● Proficiency in API testing tools and frameworks (Postman, Rest Assured, JMeter).

● Expertise in web test automation frameworks (Selenium, Cypress, Playwright).

● Solid understanding of software development lifecycle and testing methodologies.

● Experience with CI/CD pipelines and test automation integration.

● Excellent problem-solving and analytical skills.

● Strong attention to detail and quality focus.

Preferred Skills:

● Experience with performance testing and load testing.

● Knowledge of cloud-based testing platforms.

● Experience with test data management.

● Understanding of security testing concepts.

If you are passionate about quality assurance and have a strong desire to build and maintain high-quality

software, we encourage you to apply!

Keywords: SDET, Software Development Engineer in Test, mobile test automation, API testing, web test

automation,Appium, Espresso, XCTest, Postman, Rest Assured, JMeter, Selenium, Cypress, Playwright,

CI/CD, QA, testing

About the Role

We are looking for a Purchase Manager with experience in interior project procurement and vendor management. The role involves working closely with interior designers, project managers, and vendors to ensure timely sourcing, accurate cost estimation, and smooth execution of material and product procurement across projects.

Key Responsibilities

Estimation & Coordination

• Work closely with interior designers to understand project requirements.
• Assist in preparing BOQs (Bill of Quantities) and cost estimations.
• Provide market rates and vendor inputs during the design stage.

Quotation Management

• Source multiple quotations for materials, furniture, fittings, and finishes.
• Prepare comparative statements (quotation analysis) for management review.

Negotiations & Approvals

• Negotiate prices, delivery timelines, and payment terms with vendors.
• Obtain approvals from management and issue purchase orders.
• Ensure all approvals, contracts, and documentation are properly maintained.

Vendor & Material Management

• Identify and maintain a network of reliable vendors for all interior categories.
• Coordinate with vendors for timely supply as per project schedule.
• Resolve issues related to quality, billing, or delivery delays.

Cost Control & Compliance

• Monitor material usage to minimize wastage.
• Ensure purchases are within approved budgets.
• Comply with company procurement policies and quality standards.

Requirements

• 4–8 years of experience in procurement/vendor management in interiors or construction.
• Strong knowledge of interior materials, BOQs, and cost estimation.
• Ability to collaborate effectively with designers and project managers.
• Excellent negotiation, vendor management, and documentation skills.
• Proficiency in MS Excel and ERP procurement tools.

Please Apply - https://zrec.in/FQVXt?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title:             Associate DevOps Engineer

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:     6 Months - 24 Months

Education:           B.Tech/MCA/BCA

Notice Period:     Immediately

Infra360.io is searching for an Associate DevOps Engineer to lead our group of IT specialists in maintaining and improving our software infrastructure. You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. As an Associate DevOps engineer you will also be responsible for setting up CI/CD pipelines, monitoring programs, and cloud infrastructure. 

Below is a detailed description of the roles and responsibilities, expectations for the role.

Tech Stack :

• Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
• Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
• ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
• Helm: Expertise in Helm for managing Kubernetes applications.
• Cloud Platforms: Expertise in AWS, GCP or Azure will be an added advantage.
• Debugging and Troubleshooting: The Associate DevOps Engineer must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.

Key Responsibilities:

• CI/CD and configuration management
• Doing RCA of production issues and providing resolution
• Setting up failover, DR, backups, logging, monitoring, and alerting
• Containerizing different applications on the Kubernetes platform
• Capacity planning of different environment's infrastructure
• Ensuring zero outages of critical services
• Database administration of SQL and NoSQL databases
• Infrastructure as a code (IaC)
• Keeping the cost of the infrastructure to the minimum
• Setting up the right set of security measures
• CI/CD and configuration management
• Doing RCA of production issues and providing resolution
• Setting up failover, DR, backups, logging, monitoring, and alerting
• Containerizing different applications on the Kubernetes platform
• Capacity planning of different environment's infrastructure
• Ensuring zero outages of critical services
• Database administration of SQL and NoSQL databases
• Infrastructure as a code (IaC)
• Keeping the cost of the infrastructure to the minimum
• Setting up the right set of security measures

Ideal Candidate Profile:

• A graduation/post-graduation degree in Computer Science and related fields
• 1-2 years of strong DevOps experience with the Linux environment.
• Strong interest in working in our tech stack
• Excellent communication skills
• Worked with minimal supervision and love to work as a self-starter
• Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
• Experience with version control systems like Git
• Strong experience of Amazon Web Services (EC2, RDS, VPC, S3, Route53, IAM etc.)
• Strong experience with managing the Production Systems day in and day out
• Experience in finding issues in different layers of architecture in production environment and fixing them
• Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
• Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
• Experience in automation tools like Ansible/SaltStack and Jenkins
• Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
• Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
• Experience with managing/mentoring small team of 2-3 people (desirable)
• Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
• Experience in logging tools Like ELK/Loki.

                                               Sr. Data Engineer

Company Profile:

Bigfoot Retail Solutions [Shiprocket] is a logistics platform which connects Indian eCommerce SMBs with logistics players to enable end to end solutions.

Our innovative data backed platform drives logistics efficiency, helps reduce cost, increases sales throughput by reducing RTO and improves post order customer engagement and experience.

Our vision is to power all logistics for the direct commerce market in India

including first mile, linehaul, last mile, warehousing, cross border and O2O.

Position: Sr.Data Engineer

Team : Business Intelligence

Location: New Delhi

Job Description:

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Key Responsibilities:

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Qualifications for Data Engineer

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

AWS, Linux, VMware, Vcenter, ESXI, AIX Patching, RHEL, PAM, Ansible, Networking, OS RHEL, Oracle, Filesystems

Location:  Goregaon east, Mumbai

Requirement:
              We are looking for a skilled Developer with 2+ years of experience in mobile application development for iOS.

Primary Responsibilities:

• Work closely with the core team to come up with new features and implementing them
• Work on new products and services and provide support to existing applications
• Integrate REST services into mobile applications and familiar with App localization technique

The ideal candidate must possess the following skills:

Functional: Swift, Objective-C, Xcode, Networking, Data Structures, GIT & JIRA, GCD, Core Data, OOPS, Design Patterns

Mandatory: Passionate about sports, Problem-solving, Team player, Target & Result oriented

Additionally, the candidate must demonstrate good communication skills and a solid understanding of cricket and football (among other sports).