HR Operations

About the role:

We are looking for a Staff Site Reliability Engineer who can operate at a staff level across multiple teams and clients. If you care about designing reliable platforms, influencing system architecture, and raising reliability standards across teams, you’ll enjoy working at One2N.

At One2N, you will work with our startups and enterprise clients, solving One-to-N scale problems where the proof of concept is already established and the focus is on scalability, maintainability, and long-term reliability. In this role, you will drive reliability, observability, and infrastructure architecture across systems, influencing design decisions, defining best practices, and guiding teams to build resilient, production-grade systems.

Key responsibilities:

• Own and drive reliability and infrastructure strategy across multiple products or client engagements
• Design and evolve platform engineering and self-serve infrastructure patterns used by product engineering teams
• Lead architecture discussions around observability, scalability, availability, and cost efficiency.
• Define and standardize monitoring, alerting, SLOs/SLIs, and incident management practices.
• Build and review production-grade CI/CD and IaC systems used across teams
• Act as an escalation point for complex production issues and incident retrospectives.
• Partner closely with engineering leads, product teams, and clients to influence system design decisions early.
• Mentor young engineers through design reviews, technical guidance, and best practices.
• Improve Developer Experience (DX) by reducing cognitive load, toil, and operational friction.
• Help teams mature their on-call processes, reliability culture, and operational ownership.
• Stay ahead of trends in cloud-native infrastructure, observability, and platform engineering, and bring relevant ideas into practice

About you:

• 9+ years of experience in SRE, DevOps, or software engineering roles
• Strong experience designing and operating Kubernetes-based systems on AWS at scale
• Deep hands-on expertise in observability and telemetry, including tools like OpenTelemetry, Datadog, Grafana, Prometheus, ELK, Honeycomb, or similar.
• Proven experience with infrastructure as code (Terraform, Pulumi) and cloud architecture design.
• Strong understanding of distributed systems, microservices, and containerized workloads.
• Ability to write and review production-quality code (Golang, Python, Java, or similar)
• Solid Linux fundamentals and experience debugging complex system-level issues
• Experience driving cross-team technical initiatives.
• Excellent analytical and problem-solving skills, keen attention to detail, and a passion for continuous improvement.
• Strong written, communication, and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.

Nice to have:

• Experience working in consulting or multi-client environments.
• Exposure to cost optimization, or large-scale AWS account management
• Experience building internal platforms or shared infrastructure used by multiple teams.
• Prior experience influencing or defining engineering standards across organizations.

Job Description:

We are seeking a Senior AI Developer to join our dynamic team and lead AI-driven projects. This role requires a blend of advanced technical expertise in AI and machine learning, exceptional problem-solving abilities, and experience in building and deploying scalable AI solutions.

Key Responsibilities:

• Machine Learning & AI: Expertise in ML algorithms, especially for classification, anomaly detection, and predictive analytics.
• Cloud Platforms: Proficiency in Google Cloud Platform (GCP) services, including Cloud Run, BigQuery, and Vertex AI.
• Programming Languages: Advanced knowledge of Python; experience with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
• Data Processing: Skilled in SQL, data transformations, and ETL processes, especially with BigQuery.
• Anomaly Detection: Proven experience in building and deploying anomaly detection models, particularly for network data.
• Network Data Analysis: Familiarity with analyzing network logs, IP traffic, and related data structures.
• DevOps & CI/CD: Experience with CI/CD pipelines for ML model deployment, particularly with tools like Cloud Build.

MERN Stack Expertise: Strong hands-on experience with MongoDB, Express.js, React.js, and Node.js.

Frontend Skills: Proficiency in React (Hooks, Redux, Context API), JavaScript (ES6+), TypeScript, HTML5, CSS3, Tailwind/Bootstrap.

Backend & APIs: Building scalable microservices, REST/GraphQL APIs, authentication & authorization flows.

Database & Cloud: Expertise in NoSQL (MongoDB) and deployment on AWS/GCP/Azure with CI/CD pipelines.

Fintech/Payments Domain:

• Payment Gateway Integrations (Razorpay, Cashfree, PayU, CCAvenue, BillDesk).
• Banking APIs (UPI, IMPS, NEFT, RTGS, NACH) for Pay-In / Payout solutions.
• Knowledge of reconciliation, settlements, fraud detection, KYC/AML, PCI-DSS compliance.

Gaming Domain Exposure (Preferred):

• In-app purchase systems, wallets, tokens/credits, reward points.
• Real-time payment flows in multiplayer or gaming platforms.

Problem Solving: Ability to design, develop, and deploy independently from Day 1 with minimal supervision.

MUST HAVES:

• #java11, Java 17 & above only
• #springboot #microservices experience is must
• #cloud experience is must (AWS or GCP or Azure)
• Strong understanding of #functionalprogramming and #reactiveprogramming concepts.
• Experience with asynchronous programming and async frameworks/libraries.
• Proficiency in #sql databases (MySQL, PostgreSQL, etc.).
• WFO in NOIDA only.

Other requirements:

• Knowledge of socket programming and real-time communication protocols.
• Experience of building complex enterprise grade applications with multiple components and integrations
• Good coding practices and ability to design solutions
• Good communication skills
• Ability to mentor team and give technical guidance
• #fullstack skills with anyone of #javascript or #reactjs or #angularjs is preferable.
• Excellent problem-solving skills and attention to detail.
• Preferred experience with #nosql databases (MongoDB, Cassandra, Redis, etc.).

About Us

At Tequity, we specialize in end-to-end product development, delivering insightful research, user-centric design, and scalable engineering solutions. Our dedicated team of product managers, designers, and engineers work collaboratively to ensure your business achieves its goals.

Job Description

We are seeking a skilled Senior QA engineer to join our team. In this role, you will be responsible for working with development teams and product managers to test software solutions.

Roles and Responsibilities:

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback.
• Collaborate with internal teams (e.g. developers and product managers) to identify system requirements.​
• Create detailed, comprehensive and well-structured test plans and test cases.
• Setup testing SoPs to ensure catch 95% of all bugs before it reaches the clients in the first 6 months.
• Hire and train at least 3 QA engineers in the first 6 months.
• Leverage LLMs (gen-AI) to set-up testing pipeline to increase basic testing productivity by 50% in the first 6 months.
• Track quality assurance metrics, like defect densities and open defect counts.
• Stay up-to-date with new testing tools and test strategies.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• 5+ years of experience as a software QA engineer.
• Should have led multiple teams and have worked on large scale projects.
• Strong knowledge of software QA methodologies, tools and processes.
• Hands-on experience with both white box, black box testing and automated testing tools.
• Solid knowledge of SQL and scripting.
• Experience working in an Agile/Scrum development process.

Benefits

• Competitive salary and benefits.
• Opportunities for professional growth and development.
• A dynamic and inclusive work environment.

Software engineers and designers perform some or all of the following duties:

• Collect and document users' requirements and develop logical and physical specifications
• Research, evaluate and synthesize technical information to design, develop and test computer-based systems
• Develop data, process, and network models to optimize architecture and to evaluate the performance and reliability of designs
• Plan, design, and co-ordinate the development, installation, integration, and operation of computer-based systems
• Assess, test, troubleshoot, document, upgrade and develop maintenance procedures for operating systems, communications environments, and applications software
• May lead and co-ordinate teams of information systems professionals in the development of software and integrated information systems, process control software, and other embedded software control systems.

Employment requirements

• • A bachelor's degree, usually in computer science, computer systems engineering, software engineering, or mathematics
    or
    Completion of a college program in computer science is usually required.
  • Experience as a computer programmer is usually required.