Job Openings

Experience :
1 to 2 years

Required Skills :

  • Strong foundation in statistics, probability, and machine learning
  • Solid understanding of unsupervised learning algorithms and their use cases
  • Hands-on experience with clustering, anomaly detection, or dimensionality reduction
  • Basic familiarity with LLMs and prompt engineering
  • Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow
  • Familiarity with building prototypes using Jupyter, Streamlit, or similar
  • Growth mindset and a passion for experimentation and rapid learning

Nice to Have :

  • Exposure to AI agent frameworks (LangChain, AutoGen, CrewAI, etc.)
  • Experience with API design or integration
  • Familiarity with cloud platforms (AWS/GCP/Azure)
  • Background in NLP, graph analysis, or time-series clustering

Responsibilities :

  • Prototype AI agents using LLMs (e.g., OpenAI, Claude, Mistral, etc.)
  • Explore and apply clustering and unsupervised learning methods (e.g., k-means, DBSCAN, topic modeling, dimensionality reduction)
  • Develop proof-of-concept solutions and experiment with ideas across different domains
  • Collaborate with cross-functional teams, including ML engineers, product managers, and senior data scientists
  • Analyze structured and unstructured data from various sources (APIs, databases, logs, documents, etc.)
  • Continuously learn, test, and apply new advancements in the AI/ML space

About the Role :

We are looking for sharp, curious, and motivated junior data science engineers to join our innovation driven team. In this role, you will work alongside experienced engineers, data scientists, and product teams to prototype cutting-edge solutions involving AI agents, large language models (LLMs), and unsupervised learning techniques.
You will be exposed to end-to-end solution building — from hypothesis to prototype to pilot — in a collaborative, fast-paced environment where ideas move quickly from whiteboard to working system.

Experience :
7+ Years

Required Skills :

  • Master’s in Data Science, Machine Learning, or a related field.
  • 7+ years of hands-on experience in applied AI/ML roles, including 3+ years in a technical leadership or architect capacity.
  • Proven success leading projects involving causal modeling, LLMs, intelligent agents, or explainable AI in a telco or large-scale operations setting.
  • Deep knowledge of telecom data and workflows, such as alarm management, OSS/BSS systems, SNMP traps, root cause correlation, or network analytics.
  • Prior experience building production-grade AI services in a telco NOC or network engineering environment
  • Strong programming and architectural skills (Python, SQL, ML frameworks, cloud-native architectures).
  • Experience with modern AI agent stacks (LangChain, AutoGen, CrewAI, or custom-built orchestration layers).
  • Familiarity with vector search, RAG pipelines, embeddings, and knowledge graphs in operational use cases.
  • Excellent communication, mentorship, and stakeholder engagement skills.

Preferred :

  • Familiarity with MLOps tools (e.g., MLflow, Vertex AI, Sagemaker) and deployment pipelines
  • Contributions to AI/ML communities or open-source projects in causal reasoning or LLM applications

Responsibilities :

  • Lead architecture and design of end-to-end AI solutions, including causal inference models, LLM agents, and NLP systems tailored for telco operations.
  • Oversee the development and integration of AI agents capable of understanding, explaining, and resolving issues using telco alarm data, SNMP traps, logs, traces, and ticket history.
  • Drive experimentation and modeling efforts using advanced techniques in causality, graph analytics, language modeling, and root cause reasoning.
  • Collaborate closely with network engineers, product managers, and executive leadership to translate business challenges into scalable AI applications.
  • Mentor a team of data scientists, promoting best practices in software engineering, experimentation, and model lifecycle management.
  • Own delivery of AI components into production workflows in coordination with MLOps, cloud, and data engineering teams.
  • Stay abreast of the latest advancements in LLMs, generative AI, and domain-specific AI for operations, incorporating relevant breakthroughs into team strategy.

Experience :
8+ Years

Required Skills :

  • 5 to 10 years of experience in the analysis, design, implementation and support of Enterprise Monitoring systems.
  • 3 to 5 years minimum experience specifically with IBM Tivoli Netcool, Impact, IBM Tivoli Monitoring (ITM), IBM Tivoli Network Manager(ITNM) and Business Server Manager (TBSM).
  • Configures views, rules, and automates tasks associated with distributed systems (database, network, application, web, hardware and OS)
  • Integrates alerts from various monitoring and diagnostic tools into a single 24X7 interface
  • Manages the event management and report databases using Oracle, MS SQL Server and MySQL
  • Works with other departments, locations, and new projects to deploy monitoringm solutions to business systems
  • Generates, modifies, and troubleshoots programs and scripts used for monitoring or automating systems performance statistics
  • Focus on providing automation and self-service interfaces to complex tasks
  • Respond to all customer monitoring related technical issues and resolve rapidly
  • Troubleshoot all aspects of monitoring systems effectively and understand the configuration, flow and logging in detail
  • Document system configurations and any custom built applications
  • Provide dashboards and metrics to give performance and capacity data
  • Plan, execute and drive the success of complex technical projects
  • Set and maintain a high quality bar for the work being performed
  • Drive best practices and tools associated with discipline roles
  • Maintain strong domain knowledge

Responsibilities :

  • Strong knowledge of networking protocols like SNMP, TCP/IP, TL1
  • Experience with Network support services (i.e. DNS, SNMP, HTTP, others)
  • Strong knowledge of Windows, Unix, and Linux operating systems
  • Good knowledge of middle ware and database technologies
  • Must have excellent people skills, as well as great verbal, written, and interaction skills
  • Strong knowledge of scripting languages (Perl, Unix Shell, PowerShell, Python, and others)
  • Strong development skills in C or C++ or Java or PHP
  • Bachelor of Science degree (or equivalent) in related area of study (Computer Science, Information Technology, or other)
  • Project leadership experience
  • Technical team leadership experience (formal or informal)
  • Experience with Open Source monitoring solutions
  • Strong design and architectural background, and demonstrated success in this area in previous work
  • Strong cross group collaboration skills, and experience working with both internal and external partners and customers
  • Demonstrated expertise in problem solving and technical Core Competencies
  • Strong problem solving skills and analytical ability
  • Ability to work under stressful situations, meet tight deadlines and deliver services with high quality
  • Ability to lead and motivate others and work in a team environment
  • Excellent communication skills in order to be able to participate and drive customer meetings
  • Aspiration to develop solutions architecture competency
  • Key Performance Indicators (KPI) for various business applications and services.
  • Strong consulting skills
  • Fault Management (FM) & Alarm correlation
  • Performance Management (PM)
  • Understanding of Business Objects

Experience :
8 to 10 Years

Required Skills :

  • Knowledge of DevOps and related tooling such as Jenkins, Ansible etc.
  • Experience with Big Data technologies such as Apache Hadoop, HBase, Hive, Spark, Flink or Flume
  • Strong coding skills in one of Python/Java/Scala
  • Familiar with event management technologies such as Apache Kafka or Apache Airflow
  • Familiar with container technologies such as Docker or Kubernetes
  • Demonstrable experience coaching junior members of your teams

Responsibilities :

Experience with any of the following: Big Data technologies, Analytics, Hadoop ecosystems, Data Lakes, or Data Migration

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with Java, Scala, Spark
  • Strong database integration and management skills
  • Strong ETL skills, including database performance tuning and optimization
  • Familiar with Shell scripting skills and Unix/Linux knowledge
  • Exceptional analytical and problem-solving skills
  • Running diagnostic tests and performing debugging procedures
  • Documenting application development processes, procedures, and standards
  • Excellent leadership and interpersonal skills
  • Strong communication and team working skills
  • Able to analyze complex situations and derive workable actions
  • Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change

Experience :
4+ Years

Required Skills :

  • Certification in ELK is mandatory
  • 5+ years of hands-on experience with ELK Stack & Grafana in large-scale cloud deployments.
  • Expertise in ELK Cloud SaaS migrations and best practices.
  • Strong knowledge of AWS/GCP/Azure logging and observability solutions.
  • Experience with log pipeline management (Logstash, Fluentd, Kafka, etc.).
  • Proficiency in writing and optimizing Elasticsearch queries for analytics.
  • Hands-on experience with Terraform, Ansible, or Kubernetes for cloud automation (preferred).
  • ELK certification is a must.

Responsibilities :

  • ELK Cloud Migration & Implementation: Lead end-to-end ELK Cloud SaaS migrations, ensuring seamless integration and scalability.
  • Observability & Monitoring: Design and implement logging, monitoring, and alerting solutions tailored for cloud-based architectures.
  • Kibana & Grafana Dashboards: Develop advanced real-time visualizations and dashboards for enhanced system performance tracking.
  • Log Ingestion & Processing: Configure and optimize Logstash pipelines to manage structured and unstructured log data.
  • Elasticsearch Performance Tuning: Optimize indexing, search, and cluster performance in a cloud environment.
  • Security & Compliance: Implement role-based access controls, encryption, and security best practices for ELK Cloud deployments.
  • Incident Response & Troubleshooting: Set up proactive alerting systems and troubleshoot issues in real-time.

Experience :
7+ Years

Required Skills :

  • Proficiency in Scrum.
  • Strong understanding of Agile methodologies.
  • Experience in facilitating scrum and agile ceremonies.
  • Experience in identifying and reporting progress via appropriate metrics.
  • Experience in collaborating with cross-functional teams. Additional Information:
  • The candidate should have a minimum of 5 years of experience in Scrum.
  • The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions using Agile methodologies.

Responsibilities :

  • Coach and mentor the Scrum Team(s), removing barriers to successful implementation and enabling a continued focus on the task at hand.
  • Facilitate scrum and agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives.
  • Identify and report progress via appropriate metrics.
  • Collaborate with cross-functional teams to ensure successful implementation of Agile methodologies.

Experience :
8+ Years

Reports To: Director of Business Development

About Us:

Softility is a leading provider of innovative IT solutions, empowering businesses to thrive in the digital age. Our expertise spans IT Service Management, AIOps, Security, Cloud, and Data Transformation. We are passionate about delivering exceptional customer experiences and building long-term partnerships.

Job Summary:

We are seeking a highly motivated and results-oriented Business Development Representative (BDR) to join our dynamic sales team. The successful candidate will play a crucial role in identifying and qualifying new business opportunities within the Fortune 500. This role requires a proactive and results-driven individual with excellent communication, interpersonal, and organizational skills.

Key Responsibilities:

Lead Generation & Qualification:

  • Conduct thorough research and profiling of target companies within the Fortune 500.
  • Identify and qualify key stakeholders and executive decision-makers within target accounts.
  • Execute outbound sales campaigns, including cold calling, email outreach, and social selling, to generate qualified leads.

Sales & Marketing Collaboration:

  • Collaborate with the marketing team to develop and execute targeted sales campaigns and collateral, including presentations, case studies, and marketing materials.
  • Assist in planning and executing targeted digital marketing campaigns, including social media content and online advertising.

Partner Relationships:

  • Build and maintain strong relationships with key partners to drive joint business opportunities.
  • Collaborate with partners to develop and execute go-to-market strategies.

Sales Support:

  • Provide timely and accurate information to the sales team to support their sales efforts.
  • Schedule and coordinate sales meetings and demonstrations.
  • Track and report on sales activities and key performance indicators (KPIs).

Market Research & Analysis:

  • Stay abreast of industry trends, competitor activities, and market developments.
  • Conduct market research to identify new business opportunities and target accounts.

Trade Show Participation:

  • Represent the company at industry trade shows and conferences.
  • Generate leads and build relationships with potential clients at trade shows.

Qualifications:

  • Bachelor’s degree in Business Administration, Marketing, or a related field preferred.
  • 1-2 years of experience in a business development or sales role, preferably within the IT or technology industry.
  • Proven ability to identify and qualify leads, build relationships, and close deals.
  • Excellent communication, interpersonal, and presentation skills (both written and verbal).
  • Strong organizational and time-management skills with the ability to prioritize tasks and meet deadlines.
  • Proficiency in using CRM systems (e.g., Salesforce) and other sales tools.
  • Experience with social selling and utilizing social media platforms for business development.
  • Strong work ethic, self-motivation, and a results-oriented mindset.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Dynamic and collaborative work environment.
  • The opportunity to work with cutting-edge technologies and solutions.

Experience :
10+ Years

Required Skills :

  • Minimum of 5 years of experience as a Technical Business Analyst.
  • Strong proficiency in Atlassian tools, particularly Jira, Confluence, and Jira Service Management.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills, both verbal and written.
  • Ability to work independently and as part of a team.
  • Experience with Agile methodologies (e.g., Scrum) is preferred.

Responsibilities :

Business Analysis :

  • Elicit, analyze, and document business requirements from stakeholders, ensuring a clear understanding of their needs.
  • Develop detailed functional specifications, use cases, and process diagrams.
  • Facilitate workshops and interviews to gather requirements and conduct needs assessments.

Atlassian Expertise :

  • Proficiently use Atlassian tools, including Jira, Confluence, and Jira Service Management, to support business processes and project management.
  • Configure and customize Atlassian tools to meet specific business needs.
  • Develop and maintain workflows, dashboards, and reports.

Technical Coordination :

  • Collaborate with development teams to translate business requirements into technical specifications.
  • Ensure that technical solutions align with business objectives and industry best practices.
  • Provide support during the development, testing, and implementation phases of projects.

Project Management :

  • Assist in project planning, scheduling, and tracking.
  • Identify and manage risks and dependencies.
  • Facilitate effective communication between stakeholders and technical teams.

Continuous Improvement :

  • Identify opportunities for process improvement and optimization.
  • Stay updated on industry trends and emerging technologies.

Experience :
13+ Years

Required Skills :

  • Minimum of 5 years of experience as a Technical Project Manager.
  • Strong understanding of ITSM concepts and best practices.
  • Experience with Atlassian tools, particularly Jira, Confluence, and Jira Service Management.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills, both verbal and written.
  • Ability to work independently and as part of a team.

Responsibilities :

Project Planning :

  • Develop comprehensive project plans, including scope, schedule, budget, and resource allocation.
  • Identify project dependencies and risks.
  • Create detailed project documentation, such as Gantt charts and project status reports.

Project Execution :

  • Manage project resources, including team members, contractors, and vendors.
  • Monitor project progress and identify potential issues or deviations from the project plan.
  • Facilitate communication and collaboration between project stakeholders.

ITSM Expertise :

  • Deep understanding of ITSM best practices and frameworks (e.g., ITIL, COBIT).
  • Experience in implementing and managing ITSM solutions.
  • Ability to align ITSM processes with business objectives.

Atlassian Tools :

  • Proficiency in Atlassian tools, including Jira, Confluence, and Jira Service Management.
  • Configure and customize Atlassian tools to support ITSM processes.
  • Develop and maintain workflows, dashboards, and reports.

Stakeholder Management :

  • Build and maintain relationships with project stakeholders, including executive sponsors, business users, and technical teams.
  • Effectively communicate project status and progress to stakeholders.

Risk Management :

  • Identify and assess project risks.
  • Develop and implement risk mitigation strategies.

Experience :
3 to 10 Years

Requirements:

  • Minimum 3 years of experience in Splunk developments and SPL
  • Minimum 3 years of experience in Splunk administration and dashboard creations & reporting.
  • Hands on experience in using version control tools such as Git/GitHub.
  • Intermediate or advanced level in any scripting or Python languages.
  • Experienced in working with business partners to gather and interpret requirements
  • Effective documentation, communication, and interpersonal skills able to collaborate within the immediate team as well as with other groups in IT.

Preferred Skills:

  • Hands-on experience in managing Splunk infrastructure, applications and data migrations.
  • Splunk Architect certification or equivalent would be an added advantage.

Role & Responsibilities:

Softility Inc. seeks a potential Splunk Data Admin or equivalent with minimum 5-6 years of experience to help with the design, development, and support of Splunk Infrastructure, applications and migrations to cloud.

This role will join the Softility – IT Cyber Security Practice team that is responsible for managing the global Splunk infrastructure of reputed clients with vast infrastructure located in various locations across the globe. This is a strategic position and will be instrumental in the design, implementation, support, performance, and integrity of the Splunk ecosystem. You will work closely with multiple stakeholders and global partners. This is a multi-disciplinary role that will interact directly with developers and different functional IT, Security and Engineering teams to;

  1. Develop and design optimized Splunk queries for saved searches, correlation searches & dashboards.
  2. Optimize the existing queries with thorough vetting and benchmark tests.
  3. Clearly outline the corrections required on search queries or dashboards to ensure optimization.
  4. Brainstorm on solutions that can be effectively used to reduce the work-load and license costs on Splunk
  5. Create variety of dashboards and reports to keep track of the Splunk utilization and work load.
  6. Closely work with stake holders to implement strong data onboarding process.
  7. Independently manage and execute the admin one-time set up and admin on-going activities.
  8. Deploy Splunk SIEM technology and other dependent resources to fulfill complete set up.
  9. Capability to support end to end data migrations to Splunk cloud platforms.