Client: Born Group
Contratual (Codersbrain Payroll)
Hybrid
Location: Bangalore
Title: Cloud and Automation Engineer
- Budget: 6 L - 3 yrs
- Budget: 10 L - 5 yrs
JD:Position Responsibilities:
- Estimate user stories/features (story point estimation) and tasks in hours with the required level of
accuracy and commit them as part of Sprint Planning.
- Contributes to the backlog grooming meetings by promptly asking relevant questions to ensure
requirements achieve the right level of DOR.
- Raise any impediments/risks (technical/operational/personal) they come across and approaches
Scrum Master/Technical Architect/PO
- Creates and maintains the product test strategy, documents it.
- Creates formal test plans and test reports and ensures they have the correct approvals.
- Coaches and mentors test team members the importance of testing.
- Responsible for test planning
- Organizes and facilitates Test Readiness Review
- Works with the product management team to create the approved user guide ready for the release.
- Provides test coverage reports/automates test cases percentage.
- Ensures high quality deliverable is passed on to UAT phase for stakeholders testing.
- Provides test evaluation summary report (test metrics) for the release.
- Estimates user stories/features (story point estimation) from their point of view and tasks in hours
with the required level of accuracy and commit them as part of Sprint Planning.
- Contributes to the backlog refinement meetings by promptly asking relevant questions to ensure
requirements achieve the right level of DOR.
- Works with the Product Owner to confirm that the acceptance tests reflect the desired functionality.
- Raises any impediments/risks (technical/operational/personal) they come across and approaches
Scrum Masters/Technical Architect/PO accordingly to arrive at a decision.
- Collaborate with other team members on various aspects of development/integration testing etc. to
get the feature working on is delivered with quality and on time.
- Tests features developed by developers throughout sprints to ensure working software with high
quality as per acceptance criteria defined is released as per committed team sprint objectives.
- Have a good understanding of the product features and customer expectations. They ensure all
aspects of the functionality is tested before the product is tested in UAT
- Plan how the features will be tested and should manage the test environments and be ready with the
test data.
- Understands requirements, they create automated test cases thereby ensuring regression testing is
performed on a daily basis. Checks in code into the shared source code repository regularly without
build errors.
- Ensure the defects are reported accurately in Azure DevOps with the relevant details of
severity/description etc and work with the developers to ensure the defects are verified and closed
before the release.
- Update the status and the remaining efforts for their tasks on a daily basis
- Ensures change requests are treated correctly and tracked in the system, impact analysis done and
risks/timelines are appropriately communicated.
Performance testing Roles and responsibilities
- Design, Implement, and Support performance testing systems and strategies
- Designing workload models
- Executing performance tests
- Using consistent metrics for monitoring
- Identifying bottlenecks, and where they occur
- Interpret results and graphs.
- Understand describe the relationship between queues and sub-systems
- Identify suggestions for performance tuning
- Preparing the test report
Employer will not sponsor applicants for employment visa status.
Basic Qualifications (Required Skills/Experience):
- Technical Bachelor's degree or Master degree
- Azure Cloud fundamentals.
- Programming languages: Java
- Development methodologies: Agile(BDD with Junit and Code repositories in Git – with feature
branch based development CI/CD)
- Architectural Paradigms: Microservices
- Multi-deployment model support: Container based approach with Docker
- Relevant work experience into ETL\BI testing.
- Write ANSI SQLs to compare data
- Knowledge on SQLServer Database Analysis service
- Knowledge on Azure Data lake
- Data comparison, Data Verification and Validation using Excel
- Relevant work experience into manual testing.
- Technical background and an understanding of the Aviation industry
- Should have worked with test management tools - like ALM(application lifecycle management) or
other equivalent test management tools
- Good documenting/scripting knowledge
- Excellent verbal and written communication skills
- Good understanding of SDLC and STLC
- Proven ability to manage and prioritize multiple, diverse projects simultaneously
- Must be flexible, independent , self-motivated , Punctual, Regular and consistent attendance
- Automation Testing tools like Selenium (or) QTP (Quick Test Professional) and experience on HP
ALM or Devops, , ETL Testing, SQL
- Experience in Load Testing, Stress Testing, Stability testing ,Reliability testing
- Hands on Performance testing tools like HP Performance Tester (LoadRunner), WebLOAD
- Worked minimum 5 years in test automation
Preferred Qualifications (Desired Skills/Experience):
- BE/B.Tech/M.E/M.Tech/M.Sc/MCA degree in IT/CSE/ECE with 6 to 8 years of relevant IT Software
Testing experience
- This Position would require person to work in Flight Domain, below experience would be preferred
- Past experience related to Aeronautical data / Aerospace / Aviation domain.
- Past experience related to Aircraft Performance computation/optimization, Tail Specific
Performance computations using big data analytics, ML and modeling.
- Past experience related to EFB applications, Flight planning, Data link, Flight Management Computer
and Airline Operations.
- Good understanding of weather, air traffic constraints, ACARS, NOTAM’s, Routes, Flight profile,
Flight Progress and demonstrated ability lead technology project and team management in one or
more technology areas.
- Knowledge of aviation industry is preferred.
Typical Education & Experience:
Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 5 or
more years' related work experience or an equivalent combination of education and experience (e.g.
Master+ 4 years' related work experience.
Relocation:
This position does offer relocation within INDIA.

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Senior MLOps Engineer
LLM Operations, Observability & Eval Infrastructure
📍 Mumbai (On-site) | Full-time | 5-7 years
About the Role:
Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.
We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.
This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.
The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.
The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.
A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.
Responsibilities:
Observability and Tracing
Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.
Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).
Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.
Evaluation Infrastructure as a Production System
Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.
Implement regression gates that block quality-degrading changes from shipping.
Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.
Model Lifecycle Management
Pin model versions, never "latest".
Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.
Maintain fallback chains across providers for graceful degradation or queueing during outages.
Track provider deprecation schedules and plan migrations ahead of forced cutoffs.
Cost Operations
Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.
Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.
Monitor prompt cache hit rates and quantify savings.
Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.
Prompt and Configuration Deployment
Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.
Reliability Engineering for Agent Runs
Agent runs are long, stateful, and failure-prone.
Own retry and resume semantics so a run that fails mid-way does not restart from scratch.
Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.
SLO Ownership and Incident Response
Define and track SLOs for agent run latency and completion rates.
Lead incident response when SLOs are breached.
Write postmortems.
Surface reliability risks proactively before they reach users.
Safety and Compliance Operations
Run the moderation pipeline (prompt and output classification) in production.
Monitor for abuse patterns and own incident response when the agent misbehaves at scale.
Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.
AI-Assisted Engineering Discipline
Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.
Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.
Requirements:
Hands-on production ownership of LLM-backed systems in operation (mandatory).
Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.
Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).
POCs and lab work do not qualify.
5+ years of overall engineering experience
With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.
This is not an ML science role.
A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.
Observability and Tracing Depth
Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.
Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.
Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.
CI/CD and Quality Gate Experience
Strong with GitHub Actions or GitLab CI.
Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.
Cost Management and Attribution for Usage-Based Services
Experience owning cost attribution for cloud API spend or equivalent.
Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.
Reliability Engineering for Long-Running, Stateful Workloads
Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.
Comfortable defining SLOs and being accountable for them on production systems.
Multi-Provider API Management
Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.
Infrastructure as Code and Deployment Automation
Hands-on with Terraform or Pulumi and Docker.
AWS working knowledge (EC2, S3, IAM, EKS or ECS).
Strong with CI/CD for deploying services and configuration changes safely.
Nice to Have
- Experience with prompt A/B testing or staged rollout infrastructure
- Workflow orchestration (BullMQ, Temporal, Celery)
- Content moderation pipeline experience
- Data residency and compliance requirements for AI systems
- Kubernetes (EKS) in production
- AWS certifications
Position Summary:
We are seeking a detail-oriented and experienced Quality Control person to join our team, a
designer and manufacturer of high performance elastomeric seals. The primary responsibility of
this role is to ensure the quality of incoming and outgoing materials, as well as inspect in-process
plastic and metal components to maintain the highest product standards.
Key Responsibilities:
1. Incoming and Outgoing Material Inspection:
- Inspect and verify the quality of raw materials, elastomers, plastics, and metal components.
- Compare incoming materials to specifications, purchase orders, and certifications.
- Prepare and maintain detailed records of material inspections and test results.
2. In-Process Inspection:
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- Conduct dimensional and visual inspections of plastic and metal components during
manufacturing.
- Identify and report non-conformities and initiate corrective actions.
3. Final Product Inspection:
- Conduct detailed inspections of finished elastomeric seals and other components before
shipment.
- Verify compliance with customer specifications and regulatory requirements.
4. Documentation and Reporting:
- Maintain detailed inspection records, test reports, and calibration logs.
- Prepare and submit quality reports to the Quality Manager and production team.
5. Collaboration and Continuous Improvement:
- Work closely with production, engineering, and purchasing teams to address quality issues.
- Assist in root cause analysis and corrective action plans for identified defects.
- Participate in continuous improvement initiatives to enhance product quality and process
efficiency.
6. Equipment Maintenance and Calibration:
- Ensure inspection tools and equipment are calibrated and in good working condition.
- Schedule regular maintenance and calibration of measurement devices.
Qualifications and Skills:
- Education: A Bachelor’s degree in Science (preferably Physics) or a B.E Degree (Mechanical /
Industrial) or a related field is preferred.
- Experience: Minimum 1-2 years of experience in quality control, preferably in the elastomeric
seals, plastics industry.
Technical Skills:
- Proficiency in using inspection tools such as calipers, micrometers, CMMs, and gauges.
- Strong understanding of technical drawings, specifications, and GD&T.
- Familiarity with ISO 9001 and other quality management systems.
Soft Skills:
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- Excellent communication and documentation abilities in English is a must.
- Proficiency in Microsoft Excel, Powerpoint and Word.
- Ability to work independently and as part of a team in a fast-paced environment.
- Knowledge of Lean Six Sigma and 5S is preferred.
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1. Developing new user-facing features using React.js
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4. Build reusable code and libraries for future use
5. Work with backend engineers to build features and ship experiments
Skills Required :
1. Strong proficiency in JavaScript, ReactJS, Redux, redux-saga and ES6.
2. Konwledge with common front-end development tools such as Babel, Webpack, NPM, etc.
3. Familiarity with code versioning tools such as Git
4. Familiarity with RESTful APIs and Express js.
5. Ability to work in a fast-paced and deadline-oriented environment.
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The calendar is a tool that can assist you to achieve your highest human potential. Being productive with your time and collaborating efficiently with others is key to it. And Track (https://thetrackapp.com) is the fastest calendar experience ever. We've redesigned the calendar from the ground up to be fast, simple, effortless and also fun.
The Team
We are a small, global and efficient team and speed is part of everything we build and do
We are backed by amazing investors from India and US who have cofounded startups which had massive exits and the investors are currently on boards of Unicorn startups.
The Founder has over 12 years of experience in technology, studied and worked in the US for 8 years, and has cofounded a startup before.
Expected Skills :-
Primary expertise: Golang, NodeJs, Python
- Our backend was written in Nodejs and some parts converted to Golang. We want to switch completely
- Knowing Golang well is important
- You should know python / Django at a reasonable level
- Ability to work with GCP and AWS environments
Worked with Amazon services like SNS, SQS and Google services like Firebase FCM - Ability to execute rapidly
Position : All India Head - Design
Reporting to : Joint President
Location : Mumbai (BKC)
Job Purpose
- Creating functional and appealing features on Mobile and Web applications that enhance customer experience and user-friendliness and thereby result in growing the customer base and business revenues.
Key Deliverables
- Gathering and evaluating user requirements, designing elements and building navigation components in collaboration with the Product Team
- Illustrating design ideas using storyboards, process flows and sitemaps
- Designing graphic user interface elements, like menus, tabs and widgets
- Conceptualising and building the page navigation buttons and search fields
- Developing UI mockups and prototypes that clearly illustrate how the application will function and look like
- Preparing and presenting innovative ideas to internal teams and key stakeholders
- Identifying and troubleshooting UX problems
- Conducting layout adjustments based on user feedback
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Qualifications & Experience
- Graduation in Design with a specialisation in Application Design or Strategic Design or Interaction Design or Product Design or Information Design or Customer experience (not Fashion Design and Graphic Design)
- 10+ years of relevant work experience
- Proven track record in conceptualising and developing successful, high-quality Mobile and Web applications
Required Skills and Competencies
- Proven work experience as a UI/UX Designer
- Portfolio of design projects
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- Up-to-date knowledge of design software like Adobe Illustrator and Photoshop
- Team spirit; strong communication skills to collaborate with various stakeholders
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