
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven 3+ Years experience in automation testing for web and backend applications.
- Must have experience with API testing tools - RestAssured.
- Strong knowledge of automation testing frameworks (e.g., Cypress, Playwright, Protractor).
- Familiarity with programming languages such as Java, Python, or JavaScript.
- Understanding of basic SQL queries to validate data in the databases
- Understanding of CI/CD processes and tools (e.g., Jenkins, GitLab CI).
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Prior experience with trading applications or core financial services related applications is a big plus

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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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
Operation & Maintanance of Diesel Generator, Lifts, UPS, Chiller, AHU, PAC, Split AC, Cassette AC, Exhausts, LT panels, Electricals DB’s, VFD’s, Projectors, BMS, AV systems, Fire Extinguishers, Sprinkler and Hydrant systems, Air Compressor ,Clean Room
Operations & Maintenance of LT panels, UPS panels, Capacitor panels, Circuit Breakers, DB’s, FAP panels & detectors, WTP, STP
Preventive Maintanance
Preparation of 52-week PPM calendar schedule and following up
Ensure repair and maintenance activities of the facilities
Cross verifying the EB, DG, Water and HVAC bills
Prepare Work requisition, Purchase indent and PO
Coordinating for the AMC and servicing by external agencies
Incident report preparation
Planning for site Annual shutdown for maintenance activities
Preparation of daily, weekly & monthly reports
Preparation of Daily snag lists
Monthly Utility Tracker updating
Responsible for smooth operations of all Mechanical, Electrical plumbing installation
Maintaining Legal & statutory compliance documents
Oversee Housekeeping & Security
Planning critical spares list for all installations as per manufacturer’s recommendations and inventory
Handle small renovation projects from initiation to completion
Handle Internal & External Audit
1) Aerospace Standard AS9100-D,
2) Occupational Health and Safety Management Systems ISO 45001
3) ISO 27001-Information System.
Business Development Executive & Manager – IT Infrastructure & Cybersecurity
Solutions
Experience Required
2–6 years of experience in IT Infrastructure / Solutions selling, preferably in Cyber Security,
Cloud, Data Centre Networking, Servers & Storage.
Key Responsibilities
Identify and create new prospective accounts to expand the customer base.
Meet and exceed assigned revenue targets through effective sales strategies.
Develop a basic understanding of products across Cyber Security, Cloud, Data Centre
Networking, Servers & Storage.
Follow the required sales process diligently to ensure consistency and compliance.
Maintain accurate and timely entries in the CRM system for pipeline management and
reporting.
Build strong client relationships through effective communication and interpersonal skills.
Collaborate with internal teams to ensure smooth delivery of solutions and customer
satisfaction.
Required Skills & Competencies
Strong ability to generate new business opportunities.
Goal-oriented mindset with proven ability to meet revenue targets.
Basic product knowledge in IT Infrastructure domains (Cyber Security, Cloud, Networking,
Servers & Storage).
Familiarity with sales processes and CRM tools.
Excellent communication and interpersonal skills.
Team-oriented with a proactive and positive attitude.
Qualifications
Diploma or Bachelor’s degree in Business, IT, or related field.
Demonstrated success in sales roles within IT Infrastructure or related industries
Prepare layout plan as per details
given in Annexure I
Plot allocation and preparation of
digital database linked to layout
plan.
Zoning plans; temporary vs
permanent establishment, sector
divisions, parking zones etc.
Preparation of concept notes,
presentations, brief reports etc. on
specific aspects related to layout
planning.
Should have a bachelor's in
architecture/planning preferably with
master’s in urban planning/ urban
design.
Should be proficient with CAD/GIS
drawings and should have experience of
undertaking drawings of similar scale in
an urban or event context.
Should have undertaken consultancy/planning projects for
cities/similar events.
Pace Robotics is a construction robotics startup incubated by SINE IIT-Bombay and backed by Pidilite Ventures and IIMA Ventures. We are making the construction process faster, smarter and efficient through robots that can do advanced construction tasks and digitize execution
data in real time. Our first product is a modular wall finishing robot for plastering, putty and painting of building interiors. Our customers include some of the biggest names in Indian real estate and construction.To support our next stage of growth and to take the product from prototype to manufacturing ready design, we are looking for an embedded systems lead who will lead design and implementation of the software for embedded devices and systems end to end from requirements gathering to commercial deployment.
What you will do:
● Conceptualize, design, fabricate, integrate and test overall embedded architecture, embedded boards, software and circuitry for Pace Robotics’ fleet of AMRs.
● Develop embedded code which enables simultaneous exchange of data between various modules and sensors to facilitate fast/robust decision making for the robot and real time controls.
● Selection of Communication Protocols, actuation sequencing and deep involvement with embedded software and control strategy.
● Develop and maintain various engineering tools used to debug, analyze, and test embedded products.
● Work as the common link between the hardware, robot autonomy, and software teams, converting inputs from each team along with overall product/customer needs intoelectronic circuits, software and hardware.
● Selection and integration of all active, passive components, micro-controller, processor w/peripherals and power components.
● Work on improving the efficiency of the power distribution and consumption.
● Work on designing the wiring scheme of the whole autonomous system.
Who you are:
● Masters or Bachelors (with 8-12 yrs exp) in Electronics & Communication / Electronics & Instrumentation/Electrical & Electronics/Embedded Systems with relevant experience in industrial R&D Projects.
● You have the following technical skill sets:
o Expertise with latest Gen Cortex A and M series microcontroller/processors, Nvidia Orin/Jetson platforms
o Expertise with C,C++ and python programming
o Expertise with digital electronics (BJTs, Mosfets, Amplifiers, OP Amps etc)
o Knowledge of different communication protocols such as I2C,Ethernet(TCP/IP,UDP), EtherCat, CAN etc
o Good Understanding of Electronics Circuits and Schematics
o Expertise with RTOS (FreeRTOS/VxWorks etc)
o Expertise with Linux (Ubuntu and RTLinux) programming concepts
o Excellent understanding of Signal Processing methods
o Experienced in PCB and wiring harness Design
o Proficient with Matlab, Simulink, DAQ software
● Good to have:-
o Knowledge of robotics concepts and fundamentals such as Mapping, localization, path planning and perception
o Knowledge of Computer Vision, ML and DL
o Knowledge of control systems
o Knowledge of kinematics, dynamics
● Strong quantitative and data interpretation skills
o Highly organized and methodical in everything you do
o You love solving problems and looks at them as an opportunity to grow
o You keep up to date with latest developments and research
o Highly curious, love to learn, a strong team player and a motivation for junior colleagues
What's in it for you:
Globally, Construction provides a 1.6 Trillion Dollar opportunity, just by making the work more efficient. This is the market we are after. You will be an integral part of the core team of an early stage startup on a mission to change the way we build our world and disrupt one of the oldest and the largest industries. You will be designing products that can change the landscape of construction, become ubiquitous in project sites and be synonymous with construction of the future (Think of JCB and Tower Cranes of today) We promise you an environment that promotes unhindered innovation and one that can provide exciting opportunities for accelerated growth. You will be working with a stellar
engineering team having diverse experience in developing robots for automotive, agriculture and construction industries. You will have immense learning opportunity as you will be working on ‘never-seen-before’ products for an industry that’s ripe for technological disruptions.
The compensation includes company stocks through ESOP’s.
● Work experience as a front end developer
● Good Understanding of Angular/React and Javascript
● Experience working with SQL & NoSQL Databases
● Hands on experience with front-end languages and technologies, such as JavaScript,
HTML5, CSS3, etc.
● Solid understanding of object-oriented development and design patterns.
● Experience in Version Control Systems like GIT, Bitbucket.
Ideal Candidates will:
● Possess Strong sense of ownership
● Have an ability to work in high energy teams and drive results
● Have Good communication and documentation skills
● Enjoy sharing knowledge and eager to keep developing themselves
Experience of atleast 9 + years in developing Java Solutions and Architecture
Mandatory Experience of working on AWS, Microservices architecture, Dockers, Kubernetes
Experience in creating architecture for Cloud Applications in AWS
Should have worked on large scale Saas application for atleast 3 years
Knowledge and experience in any of the following
Javascript, AngularJS, Python, Ruby, PHP
Driving DevOps best practices by using Docker, Kubernetes.
Excellent interpersonal, verbal and written communication skills
Location Chennai, Bengaluru, Hyderabad,
Requirements
We are looking for a Staff Engineer who is an expert in Javascript (Node.js). We are looking for engineers who work like owners as you will be tasked with leading the development of one of our 5 major components of the Hatica platform. You will work with experienced engineers and on a modern cloud-native stack built using Javascript (React and Node) and Golang with an in-house real-time data analytics engine on Postgres and Elasticsearch among others.
Experience - 3 - 7 years
Responsibilities
- Build and maintain our backend microservices powering the core of our software platform
- Help your fellow DevOps and junior engineers working on our cloud infrastructure and other components of our product to ensure high code quality and robust architecture.
- Work with your team members to maintain high uptime and reliability of our core backend and APIs
Requirements and Qualifications
- BE/BTech in Computer Science or Engineering
- Minimum of 4 years of experience with backend development
- 3 years of experience with Node.js
- Familiarity with newer specifications of EcmaScript
- Understanding of GraphQL
- Ability to write and maintain high quality code
- Understanding of web coding patterns
- Solid understanding of microservices architecture
- Understanding of AWS and cloud-native technologies is highly preferred
Benefits
- Work with the best and brightest on a global cutting-edge SaaS product
- Performance oriented culture built on fairness and inclusivity
- Competitive Compensation
- Flexible work hours
- Fully remote team, work from anywhere
Job Type: Full-time









