Business Development Manager

Job Summary

We are looking for an experienced L2/L3 Support Analyst / Engineer to provide advanced technical support, troubleshoot complex application and cloud issues, perform root-cause analysis, and ensure platform stability across modern digital, data, AI, and Microsoft Azure environments. The role requires strong problem-management capabilities, ownership of critical incidents, effective escalation handling, and collaboration with development and infrastructure teams.

Key Responsibilities

• Provide L2/L3 technical support for business-critical applications and platforms.
• Perform advanced troubleshooting, incident diagnosis, root-cause analysis, and resolution of complex technical issues.
• Manage and resolve P1/P2 incidents, service disruptions, and recurring production issues within agreed SLAs.
• Perform problem management, identify recurring issues, and implement permanent corrective actions.
• Support and troubleshoot Sitecore XM Cloud / Experience Edge, Next.js, Vercel, React Native, and Dynamics 365 CE/Dataverse environments.
• Troubleshoot APIs, Azure API Management, Azure Integration Services, and related integration issues.
• Provide support for Microsoft Fabric, Power BI, Azure AI, and Azure-based data services.
• Monitor and troubleshoot applications hosted on Azure Kubernetes Service (AKS) and Azure App Service.
• Use Azure Monitor, Application Insights, Log Analytics, and Microsoft Sentinel for monitoring, diagnostics, alert analysis, and security-related troubleshooting..
• Prepare and maintain RCA, problem records, knowledge articles, troubleshooting guides, and operational documentation.
• Support knowledge transfer and mentor L1/L2 support teams on complex technical issues.
• Ensure application availability, reliability, performance, and overall platform stability.

Preferred Profile

• 6–8 years of experience in application production support / L2-L3 support / cloud application support.
• Hands-on experience supporting complex Azure-based digital applications and integrations.
• Experience working with enterprise ITIL processes, including Incident, Problem, Change, and Knowledge Management.
• Strong communication skills with the ability to interact with technical and business stakeholders.

Job Description

We are seeking a highly skilled DevOps / Kubernetes Engineer. The ideal candidate will have strong expertise in container orchestration, infrastructure as code, and GitOps workflows, with hands-on experience in Azure cloud environments. You will be responsible for designing, deploying, and managing modern cloud-native infrastructure and applications at scale.

Key Responsibilities:

· Manage and operate Kubernetes clusters (AKS / K3s) for large-scale applications.

· Implement infrastructure as code using Terraform or OpenTofu for scalable, reliable, and secure infrastructure provisioning.

· Deploy and manage applications using Helm and ArgoCD with GitOps best practices.

· Work with Podman and Docker as container runtimes for development and production environments.

· Collaborate with cross-functional teams to ensure smooth deployment pipelines and CI/CD integrations.

· Optimize infrastructure for cost, performance, and reliability within Azure cloud.

· Troubleshoot, monitor, and maintain system health, scalability, and performance.

Required Skills & Experience:

· Strong hands-on experience with Kubernetes (AKS / K3s) cluster orchestration.

· Proficiency in Terraform or OpenTofu for infrastructure as code.

· Experience with Helm and ArgoCD for application deployment and GitOps.

· Solid understanding of Docker / Podman container runtimes.

· Cloud expertise in Azure with experience deploying and scaling workloads.

· Familiarity with CI/CD pipelines, monitoring, and logging frameworks.

· Knowledge of best practices around cloud security, scalability, and high availability.

Preferred Qualifications:

· Contributions to open-source projects under Apache 2.0 / MPL 2.0 licenses.

· Experience working in global distributed teams across CST/PST time zones.

· Strong problem-solving skills and ability to work independently in a fast-paced environment.

Designation: Talent Acquisition Consultant.

Experience: 1-5 years in IT Recruitment

Work location: Pune (Kalyani Nagar) & Bangalore (WFH until pandemic)

Work Time: 10 am – 7 pm (Monday to Saturday)

Job Profile/ Responsibility:

• Sourcing candidates of suitable calibre from various job portals (Naukri, Monster, Indeed, LinkedIn, cut short etc), Posting, Head Hunting, Social media, Internal and External References
• The recruiter is responsible for assessing and short-listing candidates through a systematic and multi-layered approach to create a pool of eligible candidates for Job Dost Client Organizations.
• Carrying out the prescribed Assessment for the candidates and identifying profile as per client expectation as per job roles.
• Arranging telephone, video, or in-person interviews, online assessments, coding tests for candidates.
• Maintain database of candidates in jobdost portal and also ensuring all applicants are routed through jobdost platform from interview schedule to offer
• Performing background and reference checks.

Job Requirement:

For successful execution of the job, a candidate should possess the following:

• Hands on experience in hiring positions like SAP consultants, System/Cloud Architect, Front/Backend Developer, React, Java/J2EE Developers, .Net Engineers, ASP.Net, C#.Net, VB.Net, etc.
• Bachelor’s degree in Human Resources Management or a relevant field. Handling candidates in Information Technology is a plus.
• Minimum 1 years of prior experience of as a Recruiter
• Experience with resume databases and Applicant Tracking Systems
• Experience with various sourcing methods
• Experience with conducting Assessments
• Strong verbal as well as non-verbal communication skills
• Exceptional time-management and organizational skills

Why Join Us?

You will be working closely with a highly experienced team and the founders of JobDost - surely a great opportunity to learn!

As the first few members of an ever-growing team, you will play a key part in the cultures, values, and success story of our company!

We have a budding business with a solid expansion plan ahead of us and we want you to be a part of this game-changing journey!  

Strong State / Regional Business Leadership Profile (Solar / Energy D2C)

Mandatory (Experience 1): Must have 8+ years of experience in business development, with strong D2C exposure

Mandatory (Experience 2): Must have experience managing multi-branch or district-level operations with ownership of revenue growth and execution

Mandatory (D2C Exposure): Must have at least 2 years of experience in D2C sales industry, candidates purely from EPC, project-only or channel-only roles should be avoided

Mandatory (Business Ownership): Must have exposure to branch-level revenue ownership, P&L and market expansion responsibilities

Mandatory (Knowledge): Understanding of PM Surya Ghar Yojana, subsidy mechanisms, and DISCOM regulations

Mandatory (Language): Fluency in Odiya is mandatory

Mandatory (Location): Candidate must be comfortable operating from Balangir, Sambalpur, Jharsuguda, or anywhere in Western Odisha

Mandatory (Company): D2C product companies

Mandatory (Note): This role will be an equal mix of IC and team management responsibilities

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

• Prospecting leads and contacting them to pitch the product/ service
• Setting up meetings with the prospective clients
• Presenting product/ service demonstrations to the client
• Establishing new business links
• Participate in conferences, exhibitions, and industry meet-ups for business development
• Sales reporting and reviewing performance
• Negotiating contracts to arrive at the best deal for the client and organization both
• Working towards achieving the sales target
• Conduct market research to evaluate gaps, opportunities, and alien needs
• Seek new opportunities through networking, cold calling, and social media channels
• Collaborate within teams to achieve better results