Sales Consultant

Build AI where the work actually happens.

Celeco works inside real businesses to understand critical workflows, ship production AI systems and stay through adoption.

We are hiring our first Intelligence Architect (Forward-Deployed AI Engineer).

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Full-time · Remote-first · Optional hybrid in Bengaluru

At least one year of professional engineering experience. Customer travel when the work requires it.

The role

An Intelligence Architect enters a customer environment with an unfinished question and leaves behind a working, measurable system.

This is a hands-on engineering role at the boundary of product, operations and customer delivery. You will learn the domain, inspect the existing systems and data, decide what should be built, and write the code that puts it into production.

What you will own

• Interview and shadow the people doing the work, then map the real workflow, including hand-offs, exceptions and workarounds.
• Understand the customer's application stack, APIs, data, identity model, security constraints and deployment environment.
• Turn business goals into a technical scope, system design, delivery plan and measures of success.
• Build across the stack: AI workflows, data pipelines, integrations, backend services and the interfaces people use.
• Choose the simplest reliable approach. The answer may combine agents, retrieval, rules and conventional software.
• Create evals from representative cases, define quality and failure metrics, inspect traces, red-team the system and set launch thresholds.
• Make practical trade-offs across accuracy, latency, cost, privacy, security and speed.
• Take prototypes into production with tests, monitoring, access controls, documentation and a plan for failure and recovery.
• Work beside customer teams during rollout and improve the system until it becomes part of the workflow.
• Turn what works into reusable components, evaluation sets and playbooks for future Celeco deployments.

You will probably thrive here if

• You have at least one year of professional software or product engineering experience.
• You have shipped a real system used by other people and can explain what you owned, what broke and what you changed.
• You are strong in Python or TypeScript and comfortable moving across unfamiliar codebases, APIs, databases and cloud services.
• You have built with language or multimodal models and understand prompting, structured outputs, retrieval, tool use and model failure modes.
• You use Cursor, Codex, Claude Code or similar tools as part of your engineering workflow, while still reviewing, testing and understanding the code you ship.
• You can create an evaluation set, choose useful quality metrics and improve a system through error analysis instead of prompt guesswork.
• You can speak with an operator, an engineering team and a senior leader without losing the thread of the problem.
• You work well with incomplete requirements, write clearly and surface risks early.
• You care about whether people use what you build and whether it changes a business outcome.
• You can commit full-time and travel to customer sites when discovery or rollout is better done in person.

Experience with cloud deployment, containers, CI/CD, observability, enterprise integrations, authentication or security is useful. We do not expect one person to arrive knowing every framework, cloud or industry.

What you will get

• Direct ownership of live customer problems from discovery through production.
• Close collaboration with Celeco's founders and customer leadership teams.
• Exposure to different industries, operating models and technical environments.
• The freedom to choose the technical approach and the responsibility to prove that it works.
• A role in defining Celeco's engineering methods, reusable systems and technical culture while the company is early.
• A remote-first setup, with the option to work together in Bengaluru.

If the work sounds like you but your background is unconventional, apply. We care more about what you have built, how you think and how quickly you learn than pedigree.

As an AWS Platform Engineer – Security Specialist, you will be responsible for designing, building, and securing AWS platform infrastructure using Infrastructure as Code (IaC). You will implement cloud security controls, automate compliance, secure CI/CD pipelines, enable centralized monitoring, and collaborate with engineering teams to build highly secure cloud-native platforms.

Key Responsibilities

• Design, build, and secure AWS platform infrastructure using CloudFormation and Terraform.
• Implement and manage AWS security controls including IAM, KMS, Secrets Manager, and AWS Network Firewall.
• Build automated security guardrails and compliance checks using AWS Security Hub, AWS Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines with automated policy validation, vulnerability scanning, and artifact integrity checks.
• Implement centralized logging and monitoring using CloudWatch, GuardDuty, SIEM tools, and VPC Flow Logs.
• Collaborate with Application and DevOps teams to define secure architecture patterns, network segmentation, and Zero Trust controls.
• Conduct security assessments, risk reviews, and threat modeling for AWS workloads.
• Enforce tagging standards, data classification, and lifecycle policies across AWS resources.
• Support incident response, root cause analysis, remediation planning, and post-incident improvements.
• Prepare security documentation, runbooks, and platform security best practices.
• Integrate and manage security tools including SIEM, DLP, CASB, Cloud Proxy, and Isolation solutions.
• Provide guidance on AWS security, identity governance, and least-privilege access.
• Integrate AWS workloads with Security Operations Center (SOC) processes for real-time threat detection and incident response.

Must Have Skills

AWS Security

• 7+ years of experience in AWS Cloud Platform / Security Engineering.
• 3–5 years of hands-on experience in Cloud Security / Cybersecurity.
• Strong expertise in:
• AWS IAM
• AWS KMS
• AWS Security Hub
• Amazon GuardDuty
• AWS Config
• AWS WAF
• AWS Network Firewall
• Amazon VPC Security

Infrastructure as Code (IaC)

• CloudFormation
• Terraform
• AWS CDK

Cloud Security Fundamentals

• Zero Trust Architecture
• Least Privilege Access
• Encryption
• Data Protection
• Network Security

Automation & DevSecOps

• Python or Bash scripting
• Secure CI/CD pipelines
• Artifact scanning
• Secrets Management
• Pipeline hardening
• SIEM integration and centralized logging

Networking & Compliance

• Firewalls
• Proxies
• Network Segmentation
• DLP
• Isolation Solutions
• Compliance frameworks:
• GDPR
• HIPAA
• PCI DSS
• SOC 2

Data Protection

• Data Classification
• DLP Controls
• Encryption Strategy
• Secure Data Lifecycle Management

Soft Skills

• Strong analytical and troubleshooting skills
• Excellent communication and stakeholder management
• Cross-functional collaboration

Preferred Certification

• AWS Certified Security – Specialty

Good to Have Skills

• Multi-cloud security (AWS + Azure / GCP)
• ECS / EKS Container Security
• AWS Macie
• AWS Detective
• Advanced Data Governance
• Zero Trust implementations
• Azure AD / Okta SSO
• SOAR / Playbook Automation
• Splunk, Sumo Logic, Datadog
• Additional security certifications (CISSP, CISM, CCSP)
• SOC Operations (Tier 1/2/3)
• Security Incident Management
• Threat Intelligence
• Playbook Automation
• Incident Investigation, Containment, Recovery & Post-Incident Reviews

We are seeking a highly skilled Senior Java Developer with expertise in Microservices architecture and Spring Boot to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable, high-performance backend solutions.

Key Responsibilities:

• Design, develop, and maintain Java-based applications using Spring Boot and Microservices architecture.
• Develop and implement RESTful APIs and integrate them with front-end components.
• Optimize application performance and ensure high availability and scalability.
• Collaborate with cross-functional teams to gather and analyze business requirements.
• Implement security best practices, including authentication and authorization mechanisms.
• Develop and maintain unit and integration tests to ensure robust software quality.
• Work with DevOps teams to automate CI/CD pipelines and ensure smooth deployment processes.
• Monitor and troubleshoot production issues, providing efficient resolutions.
• Stay updated with emerging technologies and best practices in Java development and cloud-native applications.

Required Skills & Qualifications:

• 8+ years of hands-on experience in Java development.
• Expertise in Spring Boot, Spring MVC, Spring Cloud, and other Spring frameworks.
• Strong experience with Microservices architecture and API development.
• Proficiency in RESTful services, JSON, and Swagger/OpenAPI.
• Hands-on experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis).
• Familiarity with message brokers like Kafka or RabbitMQ.
• Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, Azure, or GCP).
• Solid understanding of CI/CD pipelines using Jenkins, GitLab, or similar tools.
• Strong problem-solving skills and the ability to work in an agile development environment.
• Excellent communication and teamwork skills.

Nice-to-Have:

• Experience with GraphQL and event-driven architecture.
• Knowledge of reactive programming using WebFlux.
• Familiarity with observability tools like Prometheus, Grafana, ELK stack.

Job Description:

• Good understanding of PHP and Object-oriented programming paradigm.
• Able to understand project requirement and handle projects independently.
• Strong learning capability.
• Having a good knowledge of JQuery.
• Framework experience would be beneficial.
• Should be comfortable to work with the team.
• Should be comfortable with work on any MVC-based framework.

Skills required:

• Sound knowledge of PHP,MySQL, Jquery, etc.
• Able to understand project requirement and handle projects independently.
• Strong learning capability.
• Contribute in all phases of the development.
• Knowledge of PHP/Codeigniter will be preferred.
• Basic Knowledge of JavaScript, Web Services.

The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.

Key Expectations

• Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
• Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
• Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
• Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
• Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
• Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
• Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
• Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
• Partner with Engineering team to implement policies and scorecards.
• Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.

Competencies -

• Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
• Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
• Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
• Outstanding communication skills, both verbal and written