Remote Senior data analytics engineer Jobs – 96 Open Jobs Today

Technical Lead / Engineering Manager, Full Stack - Gen AI (India)
Codvo.ai —Remote
- Remote
- Computer Science
- Salesforce
- Data analysis skills
Software Engineer, Go
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- Full-time
- Remote
- Azure
- English
- Databases
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10d
Senior Full-Stack Developer (Remote - India)
Ovation Law Firm —Remote
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- Remote
- Salesforce
- Databases
- JavaScript
- Paid time off
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Technical Lead / Engineering Manager, Full Stack - Gen AI (India)

Codvo.ai
Remote

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Job details

Qualifications

BCS
Authentication
Node.js
Computer Science
React
Full-stack development
Software deployment
Salesforce
Encryption
Data analysis skills
NetSuite
Master's degree
OOP
AWS
Cloud security
Bachelor's degree
Machine learning
Distributed systems
Mentoring
Software development
APIs
Agile
S3
AI
RDS database
Communication skills
Python
High availability
Identity & access management
SDLC

Full job description

Senior Technical Lead / Engineering Manager, Full Stack - Gen AI

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

BASIC QUALIFICATIONS

10+ years of overall professional experience in software engineering, with a clear progression into technical leadership.
3+ years of experience in a formal technical leadership or engineering management role (e.g., Tech Lead, Architect, or EM).
5+ years of hands-on-keyboard experience in backend, AI, or full-stack engineering. You must have a strong "builder" background.
Expert-level proficiency in a primary backend language (e.g., Python, Node.js) and object-oriented design principles.
4+ years of experience architecting, developing, and delivering AI/ML or cloud-native solutions on AWS.
Bachelor's degree in Computer Science, Engineering, or a related technical field.
Proven experience in leading, mentoring, and growing engineering teams, fostering a collaborative and high-trust environment.
Demonstrable experience owning end-to-end project delivery, managing technical risks, and ensuring timely execution of milestones.
Excellent communication and interpersonal skills, with the ability to build consensus and align technical and non-technical stakeholders.
Demonstrable expertise in system design and architecture of complex, scalable, and secure distributed systems.
Experience across the full software development lifecycle (SDLC), from requirements gathering to deployment and maintenance.
Excellent verbal and written communication skills; ability to articulate complex technical concepts to both engineers and non-technical stakeholders.
Deep, hands-on expertise with the modern AWS stack (e.g., Bedrock, OpenSearch, Kendra, Lex, EKS/ECS, Lambda, API Gateway, S3, RDS, CloudWatch, IAM).

PREFERRED QUALIFICATIONS

Master's in Computer Science, Machine learning, or a related field.
Specific, deep experience with Generative AI, including RAG pipelines, agentic frameworks (e.g., LangChain, LlamaIndex), and model orchestration (e.g., Amazon Bedrock).
Direct experience building custom data analysis "skills" or models, especially for non-standard data (e.g., scientific, financial, or time-series data).
Experience leading teams that build complex, data-driven UIs (e.g., React) and analytics dashboards.
Hands-on full-stack development experience (React + Node.js + Python).
Proven track record of integrating with third-party enterprise APIs (e.g., NetSuite, Salesforce, or other CRM/ERPs) and handling complex data mapping and authentication.
Expertise in designing for non-functional requirements: high availability, low-latency, and robust security.
Deep knowledge of cloud security best practices (e.g., IAM policy, network security, encryption, WAF, compliance).
Experience with cloud cost optimization and FinOps principles.
Proficiency with modern observability stacks (e.g., OpenTelemetry, Prometheus, Grafana, Datadog).
Experience as the primary technical point of contact in client-facing engagements.
Expertise in running agile sprints, conducting code reviews, and managing technical debt.

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