Support Lead

Job Title : DBA – AWS Aurora PostgreSQL

Experience : 6+ Years

Work Mode : Remote

Laptop Pickup : One-time pickup from Noida, Bengaluru, Pune, Hyderabad, or Chennai

Contract Duration : 6 Months

Job Summary :

We are seeking an experienced AWS Aurora PostgreSQL DBA to manage, optimize, and support enterprise database environments hosted on AWS.

The ideal candidate should have strong expertise in PostgreSQL, AWS RDS/Aurora PostgreSQL, database performance tuning, high availability, disaster recovery, security, and production support.

Key Skills Required :

AWS Aurora PostgreSQL, PostgreSQL DBA, AWS RDS, SQL Performance Tuning, Query Optimization, Indexing, Execution Plan Analysis, High Availability (HA), Disaster Recovery (DR), Multi-AZ, Read Replicas, CloudWatch, Aurora Performance Insights, Backup & Recovery, Database Security, IAM, Audit Logging, Production Support, RCA, Python/Shell/PowerShell Scripting, Terraform/CloudFormation, AWS DMS, CI/CD, Git.

Mandatory Skills :

• 4 to 5+ years of experience in PostgreSQL Database Administration.
• 3 to 5+ years of hands-on experience with AWS RDS and Aurora PostgreSQL.
• Strong SQL expertise, including query optimization, indexing, and execution plan analysis.
• Experience with Aurora clustering, Multi-AZ deployments, read replicas, failover management, backup, and recovery.
• Hands-on experience with AWS CloudWatch and Aurora Performance Insights.
• Strong understanding of database security, encryption, IAM controls, audit logging, and compliance practices.
• Experience in production support, incident management, troubleshooting, and root cause analysis (RCA).
• Scripting/automation experience using Python, Shell Script, or PowerShell.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Knowledge of AWS DMS, DevOps practices, CI/CD pipelines, and Git.

Preferred Skills :

• Experience supporting Master Data Governance (MDG) or enterprise data platforms.
• Experience working in healthcare or other highly regulated environments.
• Exposure to AWS services such as Redshift, DynamoDB, and S3.
• AWS Certified Database Specialty or AWS Solutions Architect certification is preferred.

Key Responsibilities :

• Manage and support AWS Aurora PostgreSQL environments, including provisioning, configuration, monitoring, scaling, and maintenance.
• Optimize database performance through query tuning, indexing, and proactive monitoring.
• Implement and maintain high availability, backup, recovery, and disaster recovery solutions.
• Troubleshoot production issues, perform root cause analysis, and ensure database reliability and availability.
• Collaborate with application, cloud, and data engineering teams to support deployments and production releases.
• Automate routine DBA activities and improve operational efficiency using scripting and AWS-native tools.

Qualifications :

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong analytical, troubleshooting, and communication skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Job Description -

Profile: AI/ML

Experience: 4-8 Years

Mode: Remote

Mandatory Skills - AI/ML, LLM, RAG, Agentic AI, Traditional ML,  GCP

Must-Have:

● Proven experience as an AI/ML specifically with a focus on Generative AI and Large Language Models (LLMs) in production.

● Deep expertise in building Agentic Workflows using frameworks like LangChain, LangGraph, or AutoGen.

● Strong proficiency in designing RAG (Retrieval-Augmented Generation) 

● Experience with Function Calling/Tool Use in LLMs to connect AI models with external APIs (REST/gRPC) for transactional tasks

● Hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI, Model Garden, and deploying models on GPUs

● Proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).

Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data

solutions, from data architecture and ingestion to processing, analysis, and reporting. This role

ensures that data projects are completed on time, within scope, and aligned with business

objectives. The Data Delivery Manager works with cross-functional teams, including data

engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key

Responsibilities: Project and Program Management: o Lead and manage the delivery of data-

driven projects, ensuring they are completed on time and within budget. o Develop and maintain

project plans, timelines, and resource allocation. o Monitor project progress and proactively

identify risks, implementing solutions to ensure successful project completion. o Ensure alignment

between data initiatives and business goals, maintaining continuous communication with

stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business

stakeholders and the data team, translating business requirements into technical specifications. o

Collaborate with business leaders to understand data needs and develop solutions that meet

those needs. o Provide regular updates on project status, risks, and key deliverables to

stakeholders and leadership teams. o Facilitate meetings to gather requirements and

communicate project milestones. Data Strategy & Architecture: o Oversee the design and

implementation of data solutions that support business objectives. o Ensure adherence to data

governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data

architects to define scalable, secure, and high-performance data architectures. o Support data

integration initiatives across different platforms, ensuring smooth and efficient data flow. Team

Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and

other professionals to deliver projects effectively. o Provide leadership and mentoring to team

members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear

expectations, performance goals, and career development opportunities for the team. o Address

and resolve any team challenges, ensuring high levels of productivity and motivation. Quality

Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust

testing, validation, and review processes. o Develop and enforce data standards, best practices,

and methodologies to ensure consistent, high-quality deliverables. o Drive continuous

improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk

Management and Troubleshooting: o Identify potential risks to project delivery, including data

pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o

Troubleshoot and resolve data-related issues and challenges during the project lifecycle.

Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and

performance metrics. o Ensure that data solutions provide actionable insights for the business,

driving informed decision-making. Experience: o 5+ years of experience in managing programs

related to data management, data engineering, or analytics. o Proven track record in managing

data projects and delivering data solutions in a timely manner. o Experience with data integration,

data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL

processes, and data analytics. Skills: o In-depth knowledge of data management tools and

technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).

o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership

and team management skills, with the ability to drive collaboration across different functions. o

Excellent communication skills with the ability to translate complex data-related concepts into

understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-

solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,

Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master

certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google

Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies

(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data

solutions. o Experience with data governance and compliance (e.g., GDPR).

*Performs analysis of functional and business requirements

*Applies in-depth or broad technical knowledge to maintain data engineering functions performs solution design.

*Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.

*Introduce new product features and enhance the platform

*Ability to translate business reporting requirements into a production report.

• Promoting business on social media for improving brand awareness and generating traffic through social media engagement
• Create and manage link building strategies, content marketing strategies, and social media presences
• Developing content calendars on a weekly and monthly basis for the company
• Use Google Analytics, Google AdWords, and other relevant sites
• Drive traffic to company pages
• Creating engaging social media content
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touchpoints
• Developing graphics, video, and collaterals
• Analyzing popular social media platforms and using emerging social media tools to develop relationships with clients
• Demonstrable experience leading and managing SEO/SEM, marketing database, email, social media, and/or display advertising campaigns

Roles & Responsibilities:

• An individual contributor role with proven ability to design and define the test strategy.

• Ability to create test scenarios based on the requirements, specification and understanding the impact of the multiple features.
• Understanding of the architecture/design, covering various aspects of testing (functional, non-functional, stress, reliability, conformance, robustness).
• Complete ownership of the release with the ability to identify critical customer impacting defects based on requirements.
• Good knowledge of embedded and protocol stack testing, GPS, RF, driver or firmware related testing, writing test scenarios based on requirements and specs,
• Enhance & optimize the process of system testing and software testing.

Competencies:

• Requires Bachelor’s degree in Computer Science or Technology.
• Experience in building and maintaining automated tests.
• Knowledge of scripting languages like Python would be a huge plus.
• Good understanding of the test process and ability to do RCA.
• Knowledge of packet capturing tools like Wireshark
• Knowledge in Automotive domain,V2X would be added advantage.
• Knowledge on any of the traffic simulation tools like pre-scan , IPG or related tools would be added advantage.
• Good Communication and Mentoring skills.