DevOps Engineer

Role Summary

Own the end-to-end Cloud & ITO practice engine—build and take platform/solution-led offers to market, drive rapid expansion across existing accounts, and run a scalable, profitable managed services model (CloudOps/InfraOps/DevSecOps/SRE). This role is accountable for GTM + delivery governance + margin with strong standards, automation, FinOps discipline, and measurable operational outcomes (availability, cost, cycle time, MTTR).

Key Responsibilities

Create & Take Offers to Market (Platform / Solutions-Led)

Build signature offers with clear outcomes, scope boundaries, and pricing/GM guardrails across Cloud Migration & Modernization, CloudOps/Managed Cloud Services, DevSecOps enablement & platform engineering, SRE/reliability engineering, FinOps from Day‑1, and hybrid/multicloud operating models.

Own assets that win: reference architectures, runbooks, proposal modules, ROI/TCO models, and demo/POV kits.

Lead platform-first positioning: “solution + operating model” with dashboards, governance, and measurable outcomes.

Rapid Expansion Across Existing Accounts (Land-and-Expand)

Create expansion plays inside current accounts: cloud cost optimization, reliability uplift, security hardening, DC exit, managed services takeovers, and automation of ops.

Partner with Sales to build account expansion blueprints and convert them via workshops/POVs.

Operate a consistent pipeline-to-expansion cadence: discovery → workshop/POV → scale program.

Managed Services Ownership (Cloud + Infra + Ops)

Stand up and scale Managed Cloud & Infrastructure Services: L2/L3 support model, ITIL-aligned processes, SLAs/OLAs, on-call, and incident/problem/change management.

Define a service catalog, runbooks, shift-left playbooks, and automation-first operations (ticket deflection, self-heal, IaC).

Establish governance: weekly ops reviews, monthly service reviews, and continual improvement plans (CIP).

Delivery Excellence & Profitability

Run a profitable model: utilization/pyramid health, delivery productivity, margin realization, leakage control, and change-order discipline.

Ensure operational compliance and audit readiness (security, access controls, change control).

Drive standardization and reuse of accelerators (IaC modules, golden pipelines, monitoring templates, hardening baselines).

Tool & Partner Ecosystem

Drive partner-led motions with hyperscalers and key platform providers; define co-sell plays and enablement.

Prevent tool sprawl: standardize toolchain and enforce engineering standards and controls across accounts.

Talent & Practice Build-out

Build/lead architects, CloudOps leads, SRE, DevSecOps, network/infra SMEs; define competency tracks and certifications.

Create a skills-to-demand plan and maintain a deployment-first model with bench-to-billable conversion discipline.

Areas of Expertise / Experience

Cloud architecture and engineering on AWS/Azure/GCP; hybrid and multicloud patterns

CloudOps/InfraOps managed services: ITSM, L2/L3 operations, SRE/observability, service governance

DevSecOps and platform engineering: CI/CD, IaC, environment automation, policy-as-code

FinOps: unit cost models, tagging standards, rightsizing, RI/SP governance, chargeback/showback

Security posture management: IAM patterns, CSPM, vulnerability management, change/access controls

Automation-first operations: self-healing, runbook automation, ticket deflection, reliability engineering

Success Metrics

Growth + expansion: bookings/pipeline, win-rate, and expansion penetration across existing accounts

Operational outcomes: SLA attainment, MTTR/incident reduction, change success rate, uptime/service reliability

Cost & efficiency: unit cost reduction, rightsizing savings, automation coverage, ticket deflection/shift-left

Profitability: GM at booking + realization, utilization, estimation variance/leakage control

Scalability: reuse of accelerators/IaC, certification progress, partner-sourced pipeline

Tool Expertise & Platforms (expected/preferred)

Cloud

AWS / Azure / GCP (architecture + operations)

IaC & Configuration

Terraform, CloudFormation/Bicep, Ansible

CI/CD & DevSecOps

GitHub/GitLab/Jenkins/Azure DevOps

SAST/DAST; secrets management

Observability/APM

Datadog, New Relic, Dynatrace, Prometheus/Grafana, ELK/Splunk

ITSM

ServiceNow (preferred), Jira Service Management

Security & Posture

CSPM (e.g., Prisma Cloud / Microsoft Defender for Cloud), policy-as-code, IAM patterns

FinOps

Tagging standards, dashboards, RI/SP governance; chargeback/showback

Experience

15–18+ years in cloud/infra/ITO leadership; 5+ years running managed services or practice portfolios.

Strong pursuit leadership across discovery → solution → estimate → SoW → delivery handoff; comfort owning GM guardrails.

Proven record of building repeatable offers and scaling operations with measurable outcomes.

Skills

cloud architecture and engineering

managed services leadershipdevsecops and platform engineeringsite reliability engineering srefinops and cost optimizationsecurity and compliance

Key Responsibilities

Backend Development

• Design, develop, and maintain scalable backend services using Rust, Python, and TypeScript.
• Build high-performance microservices and APIs for AI-driven products.
• Develop fault-tolerant, secure, and maintainable distributed systems.
• Design event-driven architectures and asynchronous processing pipelines.
• Implement caching, message queues, and database optimization strategies.

AI & Machine Learning Integration

• Build and maintain backend infrastructure supporting LLMs, Generative AI, RAG systems, and AI Agents.
• Integrate models from providers such as OpenAI, Anthropic, Gemini, and open-source LLMs.
• Develop vector search solutions using Pinecone, Weaviate, Qdrant, or similar technologies.
• Build AI workflows for content generation, summarization, sentiment analysis, and conversational intelligence.
• Optimize AI inference pipelines for performance and cost efficiency.

System Architecture

• Design scalable architectures capable of handling high traffic and large volumes of data.
• Develop real-time processing systems and data pipelines.
• Implement observability, monitoring, logging, and alerting mechanisms.
• Drive performance tuning and latency optimization across services.

Cloud & DevOps

• Deploy and manage applications on AWS, GCP, or Azure.
• Work with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.
• Ensure system reliability, security, and scalability. 

We are hiring for a Python Developer at Wissen Technology!

📍 Location: Pune (Hybrid)

💼 Experience: 3–6 Years

⏱️ Notice Period: Immediate / 15 days preferred

🔧 Key Skills:

• Strong experience in Python

• Hands-on with Pandas & NumPy

• Experience with AWS (S3, Lambda preferred)

• Good understanding of data processing & APIs

• SQL knowledge

🏢 About Wissen Technology:

Wissen Technology, part of the Wissen Group (est. 2000), is a fast-growing technology company specializing in high-end consulting across Banking, Finance, Telecom, and Healthcare domains.

✔️ Global presence – US, India, UK, Australia, Mexico & Canada

✔️ Certified Great Place to Work®

✔️ Trusted by Fortune 500 clients like Morgan Stanley, Goldman Sachs, and more

✔️ Strong growth with 400% revenue increase in recent years

🌐 Website: www.wissen.com

🔗 LinkedIn: https://www.linkedin.com/company/wissen-technology/

If you’re interested or have relevant candidates, please share your resume at [your email].

#Hiring #PythonDeveloper #PuneJobs #AWS #ImmediateJoiner

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        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. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices 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.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

De

Job Title: Application Development Engineer (Python – Backtesting & Index Platforms)

Role Overview

Key Responsibilities

Engine Development: Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting.

Large-Scale Simulation: Use Pandas, NumPy, and PySpark to run historical calculations across long time horizons and multiple index variants.

Workflow Integration: Integrate engines with orchestrators such as Airflow or Temporal using parameterized, config-driven execution.

Reference Data Consumption: Query and utilize pricing, security master, and corporate action data from Snowflake.

Quality & Reconciliation: Build automated test harnesses to validate outputs, compare against benchmarks, and guarantee reproducibility.

Performance Optimization: Improve runtime efficiency through vectorization, caching, and distributed computing patterns.

Cross-Team Collaboration: Partner with Business, Index Ops, and Platform teams to accelerate research-to-production onboarding.

Required Technical Capabilities

Python Expertise: Strong proficiency in Python application development with emphasis on clean architecture and maintainable design.

Data & Numerical Libraries: Deep experience with Pandas and NumPy; working knowledge of PySpark for distributed workloads.

Financial Computation: Ability to implement portfolio mathematics, weighting algorithms, and time-series transformations.

Config-Driven Systems: Experience building rule-based or metadata-driven processing frameworks.

Database Skills: Strong SQL and experience consuming structured data from Snowflake.

Testing Discipline: Expertise in unit testing, regression testing, and deterministic replay of calculations.

Orchestration Integration: Familiarity with Airflow, Temporal, or similar workflow engines.

Cloud Infrastructure: Solid understanding of AWS ecosystem services (S3, Lambda, IAM) and how they integrate with the Snowflake Data Cloud.

Role Description : Senior Java Developer

As a senior developer you will be responsible to manage the software development life cycle from planning to prioritizing to testing and release. Responsibilities includes gathering system and team product requirements, building java modules and testing features before release. Should have hands on experience developing software with agile methodologies and are ready to lead our junior developers.

Responsibilities • Contribute to all phases of development lifecycle. • Planning of API workflow. • Understanding the requirements all the teams involved and planning the development process. • Write well designed, testable, efficient code. • Prepare and produce releases of software components. • Support continuous improvements by investigating alternatives and technologies and presenting these for architecture review. • Designing, implementing, and maintaining java applications that are often high-volume and low latency. • Identify bottlenecks and bugs and advise solutions to these problems. • Develop highly scalable REST APIs to use in our applications. • Guide the team and help them in any complex situations.

Required Qualifications We are looking for individuals who are curious, excited about learning, and navigating through the uncertainties and complexities that are associated with a growing company. Some qualifications that we think would help you thrive in this role are: • Minimum 8+ Years in a Java programming. • Expert hands-on knowledge of latest technology, good exposure to web technologies and open to all technologies like Java, J2EE, Spring Boot, Microservices, Cloud computing, any DB. • Very good exposure to DevOps concepts and tools, Continuous Integration and Continuous Delivery. • Quick learner believes in continuous learning and acts as a catalyst for building the culture within the organization. 

• Analytical thinking skills, problem solving with strong exposure to root causing tools and techniques and ability to come up with solutions in complex situations. • Familiar with various design and architectural patterns. • Bachelor/Masters of CS/IT Engineering, BCA/MCA, B Sc/M Sc in CS/IT

Preferred Qualifications • Deep insights of Java and J2EE internals such as memory management, transaction management, etc. • Skill for writing reusable Java libraries. • Proficient understanding of code versioning tools, such as Git. • Familiarity with build tools such as Ant, Maven, and Gradle. • Ability to work without guidance and under tight deadlines. • Result oriented and focused on meeting deliverable timelines. • Teamwork and willingness to listen to others. • Communicate effectively • Good knowledge of microservices. • Expertise in developing enterprise level web applications and RESTful APIs using Microservices with demonstrable production-scale experience. • Strong background working with Linux/Unix environments. • Working experience in industry standard protocols related API security. • Clear understanding of web services and SOA related standards like REST/OAuth/JSON.

Location: Bengaluru/Udupi (NO WORK FROM HOME OPTION)

Notice Period: Immediate Joining or Maximum 1 Month

What You'll do:

• 2-5 years of experience building scalable backends using Python
• In-depth knowledge of Python/Django or Flask
• Familiar with oauth integration Social Networking API (Facebook, Twitter, Linked In, Google+)
• Experience integrating with mobile Apps
• Django/Flask permissions model, caching, async mechanisms
• Understanding of caching, database interactions
• Able to engineer the best performing solutions and always keeping scalability in mind

What makes you a great fit:

• Strong problem solving skills
• Knowledge of data structures and algorithms
• Hungry for more responsibility and knowledge
• Passion for building robust systems that are engineered to handle failure scenarios, an undying love and attitude for maintaining coding standards
• Strong advocate for producing quality software who makes sure issues are raised and resolved
• Experience with at least one of the cloud platforms like AWS, GCP, Azure, Digital Ocean etc. (docker, Kubernetes, microservice good to have)

Must have skillsets:

Skills : Python/ Django or Flask

Experience required: 3 -5 years

Job Type: Full time/ Permanent

Perks and Benefits :

• 5 days working.
• Flexible shift timings
• Company-sponsored certifications.
• Team friendly culture
• Flat hierarchy
• Carrom, Table tennis games, Cricket Tournament Participation for interested employees
• Snack-filled pantry for team members
• Group Medical Insurance (*)

Job Summary

Engineering Manager is responsible for leading various Android platforms at Ola Electric Mobility

For this position,

We prefer someone who has displayed a track record of:

• Solid experience in JAVA 
• Should have experience in Reactive programming, Asynchronous programming

and Unit Testing.

• Has an ability to quickly learn and contribute in multiple codebase.
• Overcomes roadblocks and requires minimal oversight.
• Takes initiatives to fix issues/tech debts before assigned to him/her.
• Able to deep dive into codebase and advise QA of possible regression impact.
• Communicates tech decisions through design docs and tech talks.
• Has delivered projects with end-to-end accountability.
• Keeps track of industry trends and introduces right tech/tools for a given job.
• Excellent understanding of software engineering practices, Design Patterns,

Data Structures, Algorithms.

• 5+ years of experience in a product-driven organization.

Key Result Areas (Accountability & Responsibility of the role)

• Build highly scalable Android Platforms. Ability to work in a fast-paced setup, deliver results, set up high standards for the team, and the ability to attract world-class talent.

  The job requires a gamut of roles and responsibilities -

  • Build a world-class team of engineers
  • Ensure their KPI’s and OKR are set and evaluated at regular intervals
  • Responsible for delivering high-quality software products, on time, and within budget.
  • Collaborate & work with Product Leads and Business Leaders to develop a long-term product plan,

  products, and manage the release planning cycles for all products.

  • Responsible for managing the staffing requirements and skillsets for the Customer Interaction Team,

  assuring that sub-teams are staffed with sufficient skilled resources and meeting Ability to work in a fast-

  paced setup,

  • Deliver results, set up high standards for the team, and the ability to attract world-class talent. product

  deliverables.