Nomiso

Job Summary

•⁠ ⁠We are looking for a visionary technology leader responsible for driving the strategy, automation, and transformation of the enterprise IT operations landscape.

•⁠ ⁠This expanded role will oversee Service Improvement Initiatives and Adoption of AI -Ops & autonomous operations to deliver a self‑healing, predictive, and highly automated IT environment.

•⁠ ⁠This leader is accountable for significantly reducing manual support dependencies by implementing AI‑driven automation frameworks that eliminate L1 support (100%) and reduce L2 support effort by at least 50%, while ensuring world‑class performance, reliability, and security across IT services.

 Key Responsibilities:

1. Strategic & Autonomous Operations Leadership

•⁠ ⁠Define and execute a long-term strategy for AI, autonomous operations, and AI driven service management.

•⁠ ⁠Build /Operationalize an enterprise-wide framework for Autonomous IT Operations (AIOps), ensuring seamless integration with infrastructure, cloud, and SRE functions.

•⁠ ⁠Lead the implementation of AI agents, decisioning engines, and self-healing automation across service operations.

•⁠ ⁠Lead & drive Continual Service Improvement Programs across critical inhouse & partner managed Apps & Infra for higher availability on IT Side.

2. Operational Excellence & Automation Transformation

•⁠ ⁠Achieve 100% elimination of L1 support through predictive automation, intelligent routing, and autonomous resolution workflows.

•⁠ ⁠Deliver 50% reduction in L2 support workload through AI based diagnostics, automated remediations, and knowledge orchestration.

•⁠ ⁠Oversee implementation of AI driven monitoring, anomaly detection, auto triaging, and automated incident remediation.

•⁠ ⁠Optimize IT operations through AIOps, observability platforms, and closed loop automation.

3. Innovation & Technology Modernization

•⁠ ⁠Lead modernization of CI/CD, IaC, and DevSecOps with embedded AI and smart orchestration.

•⁠ ⁠Build a center of excellence for autonomous operations and AI first service engineering.

4. Incident, Problem & Change Management Automation

•⁠ ⁠Deploy automated playbooks, AI guided root cause analysis, and recommendation engines.

•⁠ ⁠Implement self-service and conversational AI capabilities across ITSM platforms.

•⁠ ⁠Ensure proactive detection (MTTD < 5 minutes) and rapid recovery (MTTR < 1 hour) through automation.

5. Stakeholder & Vendor Engagement

•⁠ ⁠Communicate operational health, transformation progress, AI impact, and risk posture to senior leadership.

•⁠ ⁠Partner with cybersecurity, product, and enterprise architecture teams to ensure secure and compliant autonomous operations.

•⁠ ⁠Manage strategic vendor partnerships for AI, observability, infrastructure, and automation technologies.

•⁠ ⁠Drive enterprise-wide AI adoption by conducting workshops and training sessions on AI platforms, identifying high-value business use cases, and acting as the bridge between IT teams and AI engineering. The role will champion AI awareness, translate IT needs into AI solutions, and ensure successful adoption and value realization.

Required Skills & Experience:

•⁠ ⁠Bachelor’s degree in engineering, Computer Science, or related field (B.E./BTech preferred).

•⁠ ⁠15+ years of progressive experience in infrastructure engineering, SRE, DevOps, and IT operations automation.

•⁠ ⁠Strong hands-on experience with AIOps platforms, Agentic AI models, and autonomous operations frameworks.

•⁠ ⁠Proven background in large scale IT modernization, observability, and reliability engineering.

•⁠ ⁠Expertise in cloud operations (AWS/Azure/OCI), Kubernetes, container orchestration etc.

•⁠ ⁠Deep understanding of AI/ML, automation platforms, scripting (Python/Shell), and integration pipelines.

•⁠ ⁠Experience with ITSM platforms, incident automation, and workflow orchestration.

•⁠ ⁠Strong leadership capabilities with experience in driving major automation transformations.

•⁠ ⁠Strong hands-on experience with AIOps platforms, Agentic AI models, and autonomous operations frameworks. 

•⁠ ⁠Knowledge on DevOps and SRE metrics and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.).

• We are seeking a high-velocity Senior Technical Lead with an overall experience
• of 12+ years in software engineering who thrives in an environment of autonomy
• and rapid iteration. At Nomiso, we don't just write code; we build resilient systems.
• This role is designed for a builder who embraces our core philosophy: Build, Ship,
• Measure, Improve. You will be responsible for taking features from a raw concept
• to a live environment, ensuring that every deployment delivers high technical
• excellence and system stability. You are not just an executor; you are a technical
• owner and system architect who understands that the "Ship" is only the midpoint of the system lifecycle.

What We’re Looking For (Who You Are)

● AI Systems Architect (5+ years in AI - LLM, RAG, Context Engineering, React, Prompt): You've shipped multiple production LLM systems at scale. Deep understanding of RAG, fine-tuning, prompt optimization, inference scaling, and cost management. You make pragmatic trade-offs between

accuracy, latency, and cost.You are accountable for the high quality solution and timely shipment of the feature as per committed timeline.

● Technical Lead Manager (TLM): In this role you will do 70% technical work and 30% people management & project management work. You've led engineering teams (4-8+ engineers). You grow engineers through mentoring, clear feedback, and ownership. You balance shipping speed with technical excellence and team development.

● The "Builder" Mentality: You have a bias toward action. You prefer a

working feature over a perfect specification and understand the value of

getting software into the hands of users early. You will not leave the tech

debt for a long time. Tech debt will be continuously addressed as product matures.

● Pragmatic Architect: You choose the right tool for the job, balancing

long-term scalability with the immediate need for speed and delivery.

● Cross-functional engagement: Partner with Product, QA, and Solution

Architects, Project manager to align execution with outcomes

● Continuous Learner: You view "Improvement" as a mandatory phase, not an optional one. You are eager to refactor and pivot based on objective evidence.

Requirement

AI Expertise

• LLM APIs (OpenAI, Anthropic, Hugging Face), model selection and trade-offs. RAG pipeline architecture, fine-tuning strategies, prompt engineering, Agentic patterns, multi-step reasoning, reliability under uncertainty

Fullstack depth

● Backend: Python (FastAPI,

Django) and Node.js (Express,

Nest.js)

● Frontend: React (TypeScript,

state management, performance

optimization)

● Databases: PostgreSQL (query

optimization, schema design,

scaling)

● Infrastructure: AWS (Lambda,

ECS, RDS, S3), Docker, CI/CD,

monitoring

Leadership

● Managed engineering teams

(4-8+ engineers)

Category Requirement

● Experience mentoring and

growing engineers

● Track record of building

high-performing teams

● Comfortable with ambiguity and

rapid decision-making

Experience 12+ years in a technical-focused

engineering environment.

Education Degree in CS or equivalent professional

experience.

You will operate within a cross-functional squad, collaborating daily with Solution

Architects and other engineering peers. You will ensure that features are released

safely and frequently, and own the success of the product, by analysing the

insights and user feedback. Our hierarchy is flat; you are expected to provide

technical leadership and mentorship to junior peers while having a direct line of

communication with leadership regarding technical strategy and technical debt.

We are seeking a senior Generative AI Systems Expert with 8+ years of deep engineering experience to architect production-grade AI systems (RAG pipelines, fine-tuning, prompt optimization, inference scaling). This is a specialized Individual Contributor (IC) role for a production-focused builder who owns the AI implementation end-to-end—from initial architecture to deployment, optimization, and evaluation.

While your primary mastery lies in building and scaling robust LLM applications, you possess a strong, rigorous engineering mindset. Experience or strong familiarity with Quality Assurance (QA), Test Automation, and AI evaluation frameworks is highly preferred to ensure our systems behave reliably and deterministically at scale. You are not just implementing off-the-shelf models; you are designing complex retrieval systems, optimizing inference pipelines, evaluating model trade-offs, and building systems that reliably serve millions of transactions.

🎯 What We’re Looking For (Who You Are)

• AI Systems Architect (Core): 4+ years of dedicated experience building and shipping LLM systems in production. You understand model selection, RAG architecture, fine-tuning strategies, inference optimization, and cost management. You make pragmatic trade-offs between accuracy, latency, and cost.
• Production-Focused Builder: You've shipped LLM systems at scale. You are deeply comfortable with tokenization, context windows, vector database optimization, handling hallucinations, and system failures.
• Independent Operator: You own AI features end-to-end—from problem definition through evaluation, deployment, and production monitoring. You unblock yourself and make good decisions with incomplete information.
• Quality & Evaluation-Minded (Highly Valued Plus): You possess a rigorous engineering background with a strong appreciation for testing. You understand how to handle non-deterministic outputs through deterministic test design, evaluate model performance (F1, precision, recall), and build/use automation frameworks to prevent regressions.
• Team Amplifier: You mentor engineers on AI best practices, participate in code reviews, and help scale GenAI adoption across the organization.
• Continuous Experimenter: You A/B test approaches, iterate based on production data, and stay current with the rapid evolution of LLMs.

🛠️ Technical Stack & Qualifications

GenAI Core & Architecture (Must-Have)

• LLM Ecosystem: Deep experience with LLM APIs (OpenAI, Anthropic, Hugging Face), model trade-offs, and selection.
• Retrieval: RAG pipeline architecture and vector databases (Pinecone, Weaviate, FAISS).
• Optimization: Prompt engineering, fine-tuning (PEFT/LoRA), and inference optimization.
• Operations: Cost/latency management, hallucination detection, and mitigation.
• Advanced Patterns: Agentic patterns, multi-step reasoning, and building for reliability under uncertainty.
• Education: Degree in Computer Science, Mathematics, or equivalent professional experience. A practical portfolio demonstrating GenAI/ML implementation is valued highly.

Testing & Automation (Highly Desirable / Good-to-Have)

• Domain Expertise: 5+ years in the QA/Testing domain.
• AI-Specific Validation: Regression testing for models, hallucination testing, bias detection, and mocking LLM APIs.
• Deterministic Design: Handling non-deterministic AI outputs through deterministic test frameworks.
• Automation Suite: Proficiency in test case design (positive, negative, edge cases) and frameworks like pytest, Jest, Selenium, or Cypress.
• CI/CD: Experience integrating automated test execution into CI/CD pipelines.

💼 Key Responsibilities

• Build: Design and implement end-to-end GenAI systems—RAG pipelines, fine-tuning strategies, and prompt optimization. Make pragmatic choices between model options, latency/cost trade-offs, and production constraints.
• Ship & Guard: Own the deployment of AI features. Architect the system to ensure reliability, scalability, and proper handling of edge cases (hallucinations, rate limits, failures) using robust validation strategies.
• Measure & Evaluate: Instrument systems with telemetry. Run A/B experiments comparing AI approaches. Establish metrics dashboards to track both system performance and model accuracy/alignment over time.
• Collaborate: Mentor engineers on AI best practices. Participate in code reviews. Help the team adopt and scale GenAI capabilities safely and effectively.

About NomiSo India: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. 

Our mission is to Empower and Enhance the lives of our customers through simple solutions for their complex business problems. 

At NomiSo, we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble, and thrive when challenged. We offer a positive, stimulating, and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

What You Can Expect from Us:

We work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do at all levels of the company. Let’s make your career great!

Position Overview: 

You will be responsible for creating and managing databases like MongoDB, Maria, and Oracle databases.We greatly value teamwork, so working with developers, debugging, and helping them tune their queries is a highly valued facet of the DBE role. You never will be working “alone” you will have the skillset of many talented engineers and system admins to draw upon when you need it.

Roles and Responsibilities:

• Assist in design and development of database systems.
• Optimize database systems for performance and reliability.
• Perform database maintenance and troubleshooting activities.
• Test database systems and perform bug fixes.
• Provide database solutions based on technical documents and business requirements.
• Develop database functions, scripts, stored procedures and triggers to support application development.
• Provide technical assistance to resolve all database issues related to performance, capacity and access.
• Ensure data integrity and quality in database systems.
• Maintain standard policies for database development activities.
• Identify and rectify database errors in a timely manner.
• Create physical and logical database models as per the business requirements.
• Manage and monitor performance, capacity and security of database systems.
• Prepare documentations regarding database design, configuration and change management tasks.
• Mentor database administrators to manage the company databases effectively.
• Perform data back-up and archival on a regular basis.
• Willing to take on challenging tasks under pressure.
• Provide 24x7 on-call support in rotation.

Must Have Skills:

• Candidate with overall 8+ years experience with 3+years in database engineering, administration, and support and should have a minimum of 3+ years specifically in Mongo, Maria, and Oracle DB databases. 
• Expertise in Mongo/Maria/MySQL DB administration in a production environment. Must have hands-on NoSQL experience from evaluation of new frameworks to deployment, maintenance, and performance tuning of clusters.
• Solid understanding of SQL and NoSQL landscape and available frameworks.
• Strong in Linux and network maintenance.
• Proficiency in one or more scripting languages, including Perl, Python, and Shell.
• Strong SQL skills and experience.

Good to Have Skills:

• Proficiency with Elastic and Redis is a big plus.

Qualification:

• Bachelor of Science in Computer Science or equivalent technical training and professional work experience.

Location:

• Bangalore

Website: https://www.nomiso.io/

About Company:

Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. 

Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. 

At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

What You Can Expect from Us:

Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!

Responsibilities:

• Create, deploy, monitor, and maintain high performance and scalable microservices in the production.
• Design/develop Restful Services, data analysis, troubleshoot and resolve complex issues.
• Take end to end ownership for complex technical projects from planning through execution.
• Build, optimize, and manage ad solution Platform for the enterprise level. 
• Perform code review and manage technical debt
• Handle release deployments and production issues

Required Skills: 

• Overall 8+ years of experience in application development using Java with creating and deploying microservices using the Spring Boot framework.
• Strong experience in Maven.
• Good experience in unit(Junit) and integration testing.
• Experience in Microservices is a must.
• Experience in designing and developing REST based services / Microservice development.
• Experience with delivering projects in an agile environment using SCRUM methodologies.
• Candidate should have good communication skills (written and verbal)
• Excellent analytical and problem solving skills
• Any one of these database Mongo, Maria, RMQ, Postgres, or other NoSQL servers
• Experience in AWS and CI/CD

Good to have:

• Experience using container management tools such as Kubernetes, Docker and Rancher.

About Nomiso India: Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. 

Our mission is to Empower and Enhance the lives of our customers through simple solutions for their complex business problems. 

At Nomiso, we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble, and thrive when challenged. We offer a positive, stimulating, and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

What You Can Expect from Us:

We work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do at all levels of the company. Let’s make your career great!

Position Overview: 

As our Senior Engineer (Back End), you'll be responsible for building new features, enhancing the existing ones as well as supporting them in production. You will also be responsible for building reusable libraries or technology platforms that address multiple use cases. You will work towards delivering specific milestones and objectives in a very dynamic environment. 

Roles and Responsibilities:

● Working closely with the Engineers to develop the best technical design, strategy and drive execution to build capabilities into the platform 

● Owning the delivery of various timelines, ensuring that key milestones are met and deliveries are of the highest quality 

● Establishing various best practices for software development and encouraging their adoption with the team and organization 

● Collaborate with other non-technical stakeholders of the business which includes Product Managers, Designers, Marketing etc.

● Encouraging and mentoring an excellent team of talented engineers by mentoring them and working with them to remove any roadblocks 

● Functional availability of the software developed, enhancing the product based on functional requirements 

● Managing cloud-based services, web applications for their functional correctness, availability, security 

● Deploy and maintain enterprise class RESTful, GRPC based services 

● Own the engineering excellence and operational readiness of the service driving the SLO,SLI, SLA of the relevant services 

● Take ownership to drive quality of the services under your purview via integration test and unit test coverage 

● Responsible for all microservices within your purview responsible driving their quality, security,availability, scalability and other “ilities” 

● Dive deep into each issue, own reactive fixes, and execute long term fixes 

● Assist other Support Engineers on complex RCA issues 

● Provide technical mentoring and guidance to other engineers 

● Provide L3 engineering support

Must Have Skills:

• Overall experience 7+ years and relevant at least 3+ years in Golang with Java
• Strong design and architectural experience in building various highly-scalable and highly-available products 
• Strong understanding of the SDLC Activities which include Analysis, Design, Development, Testing, Deployment and Post-Production Support etc.
• Proficiency in at least one server side framework for Go Lang
• Experience working on NoSQL & SQL Databases such as MySQL, PostgreSQL, MongoDB, Redis etc 
• Deep Dive, problem-solving, RCA and systematic thinking to reach the cause of issues 
• Able to work independently and multi-task effectively 
• Program at a system level and able to manage service stability 
• Excellent experience maintaining, scalable, extensible code
• Methodical in maintaining up to date documentation 
• Metric-driven mindset and obsessive about ensuring clean coding practices 
• Preferred experience in product development 
• Preferred working experience on microservices platforms 
• Proficiency in at least one modern web front-end development framework such as React JS will be a bonus

Good to Have Skills:

• Preferred experience in Elasticsearch and Kibana (ELK Stack) 
• Preferred experience with messaging systems like RabbitMQ 

Qualification:

• Bachelor of Science in Computer Science or equivalent technical training and professional work experience.

What You Can Expect from Us:

Here at Nomiso, we work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!

Position Overview: 

The Principal Cloud Network Engineer is a key interface to Client teams and is responsible to develop convincing technical solutions. This requires them to work closely with clients for multiple partner-vendors teams to architect the solution. 

This position requires sound technical knowledge, proven business acumen and differentiating client interfacing ability. You are required to anticipate, create, and define an innovative solution which matches customer’s needs and the clients tactical and strategic requirements.

Roles and Responsibilities:

• Design and implement next-generation networking technologies
• Deploy/support large-scale production network
• Track, analyze, and trend capacity on the broadcast network and datacenter infrastructure
• Provide Tier 3 escalated network support
• Perform fault management and problem resolution
• Work closely with other departments, vendors, and service providers
• Perform network change management, support modifications, and maintenance
• Perform network upgrade, maintenance, and repair work
• Lead implementation of new systems
• Perform capacity planning and management
• Suggest opportunities for improvement
• Create and support network management objectives, policies, and procedures
• Ensure network documentation is kept up-to-date
• Train and assist junior engineers.

Must Have Skills:

    Candidates with overall 10+ years of experience in the following:

• Hands-on: Routers/Switches, Firewalls (Palo Alto or similar), Load Balancer (RTM, GTM), AWS (VPC , API Gateway , Cloudfront , Route53, CloudVAN, Directconnect, Privatelink, Transit Gateway ) Networking, Wireless.
• Strong hands-on coding/scripting experience in one or more programming languages such as Python, Golang, Java, Bash, etc. 
• Networking technologies: Routing Protocols (BGP, EIGRP & OSPF, VRFs, VLANs, VRRP, LACP, MLAG, TACACS / Rancid / GIT, IPSec VPN, DNS / DHCP, NAT / SNAT, IP Multicast, VPC, Transit Gateway, NAT Gateway, ALB/ELB), Security Groups, ACL, HSRP, VRRP, SNMP, DHCP.
• Managing hardware, IOS, coordinating with vendors/partners for support.
• Managing CDN, Links, VPN technologies, SDN/Cisco ACI ( Design and implementaion ) and Network Function Virtualization (NFV).
• Reviewing technology designs, and architecture, taking local and regional regulatory requirements into account for Voice, Video Solutions, Routing, Switching, VPN, LAN, WAN, Network Security, Firewalls, NGFW, NAT, IPS, Botnet, Application Control, DDoS, Web Filtering.
• Palo Alto Firewall / Panorama, Big-IQ, and NetBrain tools/technology standards to daily support and enhance performance, improve reliability .
• Creating a real-time contextual living map of Client’s network with detailed network specifications, including diagrams, equipment configurations with defined standards
• Improve the reliability of the service, bring in proactiveness to identify and prevent impact to customers by eliminating Single Point of Failure (SPOF).
• Capturing critical forensic data, and providing complete visibility across the enterprise, for security incidents as soon as a threat is detected, by implementing tools like NetBrain.

Good to Have Skills:

• Industry certifications on Switching, Routing and Security.
• Elastic Load Balancing (ELB), DNS / DHCP, IPSec VPN,Multicast, TACACS / Rancid / GIT, ALB/ELB
• AWS Control Tower
• Experience leading a team of 5 or more.
• Strong Analytical and Problem Solving Skills.
• Experience implementing / maintaining Infrastructure as  Code (IaC)
• Certifications : CCIE, AWS Certified Advanced Networking